Vulnerability in Bluetooth makes it possible to follow iPhones, Macs and more

A university has discovered a vulnerability in Bluetooth security that allows devices to be tracked. iOS, macOS, and watchOS are affected, as are Windows laptops and tablets. What can you do about this?

The vulnerability has been discovered after a Boston University study, writes ZDNet. To connect to a Bluetooth device, the signal sends typically out a continually changing address. This prevents you from being followed for a more extended period. The random chance of that address can be intercepted by a unique algorithm.

Bluetooth vulnerability in iOS, macOS and more

This vulnerability affects iPhones, iPads, Apple Watches, Macs, and Windows 10 devices. According to the researchers, Android devices are not affected because they connect differently. The unique algorithm, which the researchers call the address-carryover algorithm, does not break into Bluetooth security. In this way, a device can be permanently monitored unnoticed. There is no access to personal information, but there is an insight into your activities.

As a user, you don't notice the vulnerability. It is not known whether this problem has already been exploited. Both Apple and Microsoft were informed on November 2018 but did not respond to the content. You can read more details about the vulnerability of the Bluetooth connection in the extensive report from the university. In it, they also write that fortunately there is a temporary solution to prevent hackers from following you.

A temporary solution
According to the researchers, it helps to temporarily switch Bluetooth off and on on your iPhone, iPad, and Mac. At that time, the address is randomly composed again, so that tracking is not possible. Please note that this only works via the settings and not via the Control Panel. We expect that both Apple and Microsoft will soon come up with a software update that solves this problem. If such an update is available, you will, of course, read it on culture.

If you already suffer from Bluetooth problems on your iPhone and you are unable to connect, you can read our solutions for this problem in our tip.

"Samsung gives Note 10 faster charger, Plus supports 45 Watt."

The Galaxy Note 10 is probably supplied with the fastest Samsung charger so far, of 25 Watt. The Plus version of the flagship supports even more powerful chargers in theory, but you have to purchase it yourself.

"Samsung Galaxy Note 10 charger gets faster."
Samsung is introducing multiple variants of the Galaxy Note 10 on August 7, all of which come with a 25-watt charger. Claims the usually reliable telecom insurer Ice Universe on Twitter. It would be a significant upgrade compared to the Galaxy S10, which supports a maximum of 15 watts.

Various Samsung rivals are now putting faster chargers on their smartphones. For example, with the OnePlus 7 Pro, you get a 30 Watt charger, and Hweigh has been opting for 40 Watt chargers with devices like the P30 Pro for a while now. Although Samsung does not yet have top tools with chargers faster than 15 Watt, it recently released the affordable Galaxy A70 with a 25 Watt adapter.

45 Watt for Note 10 Plus
Although both the Galaxy Note and the Note 10 Plus are supplied with the same charger, the more expensive Plus model can charge a little faster on paper. According to the source, this variant supports a maximum of 45 watts, although you have to purchase such a smoother battery block yourself.

The higher the number of watts, the faster a battery is charged. For example, the Galaxy S10 Plus with 15-watt charger is 41 percent full after half an hour. The Huawei P30 Pro, which has a slightly larger battery but also a smoother 40-watt charger, is 70 percent complete after half an hour.

Microsoft praises security Mozilla's programming language Rust.

The programming language Rust developed by Mozilla contains all sorts of features that can ensure safer software, Microsoft has said. Research by Microsoft shows that most leaks in the proprietary software were caused by "memory corruption bugs" in the C and C ++ code.

"Now that Microsoft is expanding the code base and using more open-source software in its code, this problem is only getting bigger. And Microsoft is not the only one dealing with memory corruption bugs," said Gavin Thomas of the Microsoft Security Response Center. Thomas notes that Microsoft developers have all kinds of tools and processes at their disposal to find vulnerabilities.

It is more efficient if programmers spend less time learning tools and processes to create code without vulnerabilities. A programming language that makes it impossible to introduce memory problems in the system would help both programmers and security engineers. Thomas would like to see a programming language that combines the memory security guarantees of a word such as .NET and C sharp with the efficiency of C ++. According to Thomas, a programming language that meets this requirement is Rust, developed by Mozilla Research, which offers memory protection.

"We can learn from the way the automotive industry develops its technology to protect drivers and road users. The software security industry has the privilege to protect the programmer in the same way. Maybe it's time to delete unsafe legacy programming languages ​​and to switch to more modern, safer programming languages? ", Thomas asks the question. Microsoft is coming soon with several blogs in which it explores these programming languages ​​and will be the first to look at Rust.

Custom Radeon RX 5700 video cards from ASRock and MSI

Earlier this month we published our review of the AMD Radeon RX 5700 and RX 5700 XT "Navi" video cards. The reference maps have a more relaxed with a wind tunnel principle. Those who are not satisfied with this 'standard' version can opt for a variant with a custom cooler. ASRock and MSI have already shown their options.

ASRock has developed a "Challenger" variant of both the RX 5700 and 5700XT. The models have a more cooling with two 100 mm fans and a heat sink with copper 8 mm heat pipes. The XT also has an aluminum backplate. The clock frequencies of the Challenger RX 5700 and 5700XT are 1675 and 1650 megahertz, respectively, and are clocked, successively, 50 and 45 megahertz higher. The maximum boost clock has remained unchanged in both models.

MSI has also released more details about its custom video cards. Four versions come from both the RX 5700 and 5700XT. In addition to a Gaming X, Evoke, and Mech model, an Air Boost variant is also coming onto the market. More specifications are not yet known at the time of writing. We do know that the MSI cards will only become available mid-August.

Startup Elon Musk wants to read thoughts with wires in the brain.

Neural ink, a company founded by Tesla boss Elon Musk, wants to test mind-reading technology on test subjects next year. For this, electrodes in the form of thin wires would be implanted in the brain.

The brain implants of the American company Neural ink must make a connection between the human brain and computers possible. It would allow users to control computers with their thoughts. Neural ink announced this during a presentation on Wednesday morning. Tesla boss Elon Musk is one of the major donors of Neural ink, which was founded in 2016.

Thin wires read thoughts; it is necessary to place electrodes in the form of fragile cables in the brain. Neural ink has already implanted such electrodes in rats to measure their brain activity.

For the experiments, the company works together with scientists from American Stanford University. "We hope to have this in a person at the end of next year," said Musk during the presentation. The US regulator FTC has not yet approved the testing of technology on humans.

Operation with robot
The threads that Neural ink uses are a quarter times thicker than a human hair. For test subjects, four holes are first drilled into the skull. A robot must then place the electrodes very precisely in the brain. In the future, Neural ink hopes to use lasers to make holes in the head.

According to Neural ink, the flexible electrodes are less dangerous than the current brain implants. In the future, surgery should be as easy as laser eye surgery, says Matthew MacDonald, Neural ink chief surgeon.

"Upgrade your brain."

According to Neural ink, this technology makes it possible to write texts, such as e-mails and text messages, by thinking. It would also be possible in the future to download a new language that the person does not yet speak.

Neural ink first focuses on people who cannot move their bodies. Founder Elon Musk hopes that eventually, everyone could use the device. The first goal is to be able to write 40 words per minute by thinking.

Neural ink is not the only company that works on technology to connect brains to machines. Facebook is also working on technologies that make it possible to send thoughts to a computer. "One day we will be able to send complete thoughts to each other immediately," said Facebook boss Mark.

These 7 "stalker apps" have now been removed from the Play Store by Google.

Security researchers have discovered several apps in the Play Store that can track your location and message history. They have since been removed from the Play Store by Google.

These 7 "stalker apps" have now been removed from the Play Store by Google.
These 7 "stalker apps" have now been removed from the Play Store by Google.

Removed Android stalker apps from Play Store

As soon as you were able to install one of the apps on another person's Android smartphone, you could continuously view the location, contacts, text, and call history of that person. It concerned apps with names such as "Spy Tracker" and "Employee Work Spy." In the description, the developers suggested that you could, for example, keep an eye on your children, employees, or partner.

Of course, there are more apps that you can follow the location of others carefully. WhatsApp and Google Maps, among others, have been offering this option for quite some time. The big difference is that with those apps, you must explicitly give permission yourself before your location is shared with others. Also, by default, you only share your site in these apps for a short period, so that others know, for example, whether you are almost at the final destination.

These seven apps, however, continuously monitored the location of the affected users and also did so in the dark. After installation, tips appeared on the screen for how the app could be "hidden." For example, users could quickly install the app on a phone that was left behind, remove all traces of the installation and app, and then keep an eye on others in secret.

According to Avast security researchers, the apps were downloaded more than 130,000 times via the Play Store. It is unknown how often Dutch users downloaded the apps. Google has now removed the stalker apps from the Play Store and says it will check more strongly for similar apps in the future.

Are you afraid that you are in danger? Then also read our tips for preventing and removing Android malware. Also, check our guide for securing your Android for practical tips. For example, make sure that you always set a screen lock, so that someone does not just have access to your device. Finally, it is wise to know what to look out for with dangerous Android apps, so that you can prevent problems in the future.

Samsung is starting this month with the mass production of 12GB-lpddr5 for smartphones.

Samsung starts in July with the mass production of 12GB packages lpddr5 memory for smartphones. The modules are made up of eight 12Gbit chips and will most likely end up in the Galaxy Note 10 from Samsung.

Samsung is starting this month with the mass production of 12GB-lpddr5 for smartphones.
Samsung is starting this month with the mass production of 12GB-lpddr5 for smartphones.

Samsung has already started mass-producing 12Gbit chips from lpddr5 and will be doing the 12GB modules later this month, the company announced. With a throughput of 5.5 Gbit / s, the lpddr5 chips are 1.3 times as fast as the current lpddr4x working memory with its 4.2 Gbit / s.

As part of a 12GB module, the lpddr5 can handle 44GB per second via a 64-bit full bus, where 12GB-lpddr4x gets stuck at 34.1GB / s. Moreover, according to Samsung, lpddr5 is thirty percent more efficient thanks to the use of new techniques for clocking and low-power modes. The production of 16Gbit chips of lpddr5 should start next year.

Samsung does not disclose which smartphones will get the memory first, but according to rumors, there will be a variant of the upcoming Galaxy Note 10 with 12GB-lpddr5. According to SamMobile, this is the version of Note 10 with 1TB storage. Samsung would also release variants with 256GB and 512GB storage.

Google Acquires Israel's Elastafile for more than $ 100 million

The company, which develops storage solutions for the cloud, was founded in 2013 by Amur Maharani, Ronny Luxembourg, and Shariah Frank, and has raised $ 75 million to date from funds like Dell ENC, Battery Ventures and Light speed.

Google announced today that it is acquiring Israeli company Elasticize for more than $ 100 million. Testify develops storage solutions for enterprise environments and cloud services. According to the search giant, the deal is expected to be approved later this year.

Elastic was founded by Amer Maharani, Ronny Luxembourg, and Shariah Frank, and currently employs 70 people. The company is headed by Erwin Lenard. The company is developing a system that makes it easier for large organizations to access cloud storage systems and build applications that can run in the cloud environment. "Stile's service is useful for high-performance, high-performance cloud tasks, such as image processing, genomic research or machine learning," Maharani told The Marker. "With the technology we developed, we can get the reliability that was previously reserved for entire storage server cabinets," he said.

And maybe the Alzheimer's medicine will come from a drummer who has become religious and suffers from mathematics?

Michael Levitt, a Nobel laureate in chemistry, met his new wife two years ago. He did not know that this was the beginning of a beautiful friendship with a young Israeli scientist. When Shahar Barbash, a young Israeli scientist, decided that he had a start-up idea that could significantly shorten the time required for drug discovery, he did not know that Levitt's wedding would help him get a meeting with a person that every novice scientist wanted to meet. But Levitt married a new woman who was an old friend of Barbash's parents, and the smiling psychologist was able not only to sit in front of the novelist but also to knock him off the chair.

"One of the pleasures of an old scientist is to encourage surprising young scientists," says Levitt, a Stanford University professor who won Novell in 2013. "The meeting at dawn might have been because my wife knew the family, but it was not enough to get me into the business with him, I entered because his vision moved me, although I thought it would be tough to implement."

Prof. Levitt (72) and Dr. Barbash (37) first met last year, and Levitt told Barbash: "Start working, see what will come out." Three months ago, Levitt came to New York, and Barbash introduced him to his progress, Was "really shocked. I advise many companies, but what happens at dawn makes me very excited. Not only does he have brilliant software, but he also has serious customers from the start. I did not expect such amazing results in such a short time. When I saw that it was working it was really 'Wow.' "

You do not need an algorithm that studies everything; you need an exact algorithm for each study.

This "Wow" did not come after finding a cure, but because of a lightweight program that could be installed on the desktop. In one sentence, Barbash's invention dramatically shortens the time it takes to analyze cell and tissue images and does so in a way that uniquely fits the specific requirements of researchers. 

Facebook's AI Manager: "You need to create fake videos to identify them."

The phenomenon of Deep Pike videos - programs that people have planted things that have never been said - is gaining momentum, but Dr. Antoine Borden is not worried: "We want to test these models, poison can also be used as an antidote, it will not be a big problem in the future."

A big area in your studies is machine learning; what are you doing?

"A major research topic that integrates with various projects is multi language, including the translation and naturalization of text in a variety of languages, and many AI challenges that can be dealt with through multilingualism — language and learning with little information.

"Many scientists think there are problems that there will always be a lack of information to solve them, so we need to find new ways to deal with a minority of information and multilingualism, so if I want to catalog texts in English or French, I have enough information to work with. In Korean, it's harder, and if it's Bengali, then there's no more information at all. "

Give an example of a project in the field.

"One of my favorite projects is an unregulated machine translation, which checks whether you can translate between two languages ​​without any prior knowledge of these languages, for example, if I want to transcribe from French to English, but I have only a lot of text in English and a lot of writing in French, And regardless of whether they can be translated anyway? "

If the texts are not the same at all, a person can not translate. You need some reference point.

"We can train machines to translate between languages ​​without any prior information, which is good at the same level of machine translation based on half a million translated sentences."

How Does It work?

"The world is organized the same everywhere: the clouds in the sky, the beach by the sea, the boats in the sea, etc. When people talk, they relate to objects in the same context, it does not matter if they are in Tel Aviv, Paris, or New York. The program first identifies matching words, which appear together many times, so it can recognize that groups of words in one language look like groups of words in another language, allowing the program to acknowledge parallel words in two different styles, And then the system learns from the mistakes and improves. "

How does the system learn from its own mistakes?

"If we use the phrase" the cat is blue, "it is a real sentence, which can be found in Wikipedia, for example, if it is entered into the English-French algorithm, it can translate it into" chat chat," which is still a lousy translation. , And if you get a result like A cat is red, the system realizes that a mistake was made in translation because it knows what the original sentence is and can update itself, of course, everything happens in the opposite direction.

"The system that created poison is the vaccine."

What else can machines learn?

"We want to create a program that can perform 99% of the learning process without tagged information (tagged information is predefined information for the system, such as a cat image with an information layer that identifies the image as a cat). So that only a small number of variables should be labeled. We want the software to learn what is in the picture, without being able to attach names to objects there. We do it with fun games that the software needs to solve. "

Give an example of such a game.

A simple task is to take a picture, turn it black and white, then ask the software to repaint it, for this program is not a simple task, because it needs to know that the sky is blue, that the sand is yellow and that everything has a specific color, Another mission is to take a picture, cut it into nine parts, change its order, and ask the software to rearrange it, another example is to display five video frames to the system, and then the system needs to predict the next structure. "

What does it give you?

"If I have to train the software to identify cats, I have to show it tens of thousands of tagged pictures of cats, to identify thousands of objects that require millions of images, each of which is labeled as a cat, a car, a person. To train herself, so that when she is presented with a picture, she can already understand what is happening in her, what can move and what does not, so that the software can identify a cat does not need 10,000 pictures, maybe ten pictures. "

It's like a little boy. Show him a picture of a cat once, and he'll recognize every cat he sees on the street.

"Intuitive physics is one of the first building blocks of understanding the world, and we have created a test to see if the software can learn intuitive physics and if we understand how learning machines can help them learn faster."

Translators Beethoven and Mozart

The technology press deals quite a bit with the Deep Pike phenomenon - videos or sound clips created or modified by software, and allows, among other things, to plant things in a person's mouth that he never said and generate a result that people will find challenging to distinguish from the real thing. Is this a problem you are dealing with?

In terms of applied research, we want to develop methods to identify Deep Pike, or as we call it 'information manipulation.' At the same time, we want to push models to generate images, videos and texts - if we're going to respond to what people do, What we can do: We realized that a program that knows how to create Deep Pike is also a program that can recognize it, as a poison can sometimes be used as an antidote.

"Now we're trying to figure out whether to develop an antibody that works against all toxins, which is an important issue and we take it seriously, but it's something that software creates and leaves with signature information that other software can recognize, it's just a matter of finding the right solution. in the future".

What is your Israeli team doing?

"The team here is interested in AI for creators and creativity, but there are also profound scientific challenges, and they have created a project called Universal Musical Translation, which feeds into a music segment algorithm and translates it into another instrument or musical arrangement. To change devices but also to take a piece of music played by one tool and turn it into a section designed for an entire orchestra, in a different but similar arrangement that preserves the original melody. "The algorithm can also translate the piece into the styles of various composers, such as Beethoven's piano or Mozart's symphony.


The creator of Mario, Shigeru Miyamoto, believes Nintendo is not left behind in online services and VR gaming.

During a Q & A, that was part of Nintendo's Annual General Meeting of Shareholders, she was asked about the idea that the company is behind the global trends in mobile gaming, cloud computing, and VR gaming.

"We have not left either VR or network services," Miyamoto said. "We have been working on them since the beginning, and we have experimented with them in various ways."

"At that time, we objectively assessed whether the services allow our consumers to have a pleasant experience and whether we can exploit them at the right cost," he continued. "Because we do not advertise a product until it's released, it may look as if we're left behind."

On the issue of cloud gaming, Miyamoto said: "I think cloud gaming will become more widespread in the future, but I have no doubt that there will be games that are fun because they run locally rather than the cloud."

Nintendo is considered the company is lagging in competition when it comes to cutting-edge technology, especially online. Nintendo's online services are often criticized for lack of quality of life data, such as the use of sizable alphanumeric buddy codes instead of user names. However, the current generation of products has gone a step further for the company, with Nintendo Switch Online, which, while fairly basic compared to the competition, is slightly closer to what Sony and Microsoft offer.

How do Greek companies move to digital transformation?

Very soon Greek companies seem to have adapted to the new reality, as 1 in 2 companies (51%) has already made the digital transformation, while 35% is expected to do so in the next 2019-2021. The "leading role" in the digital transition continues to have the CEO's at 70.38%.

However, the active participation of CEO confirms that digital transformation is associated with 58.75% of the enterprise's general culture and is not just about technology.

These findings are derived from People For Business Strategic Solutions for Human Services Strategic Solutions on Leadership in the Technology Age, held from May 23, 2019 to June 23, 2019, with 282 CEO (48,72%), Production / Processing (20,61%) and Commercial Activity (30,77%), with an average of 48,7% their number of employees 180.

The research aimed to capture how Greek CEO's are experiencing the changes that are taking place due to technology, how prepared they are for digital transformation, how they make the best use of talent-workers and whether they have started to prepare the next generation of leaders.

"In a world where we are talking about lack of talent, companies are planning their strategy, mainly based on market needs. However, both the talent available and the development of new talent combined with corporate culture are crucial success factors - factors that businesses have to consider, invest resources and time to build seriously. In this process, we need "fellow travelers" with experience, know-how, and market knowledge to move faster and more efficiently, "said Elena Katina, Director of People & Culture of People for Business, referring to the results of the survey.

Key findings of the survey

1 in 2 companies has moved to digital transformation, while 1 in 3 companies are expected to run between 2019-2021. Digital transformation at 58.75% is linked to the company's general culture and not only technology. Digital transformation is passed by CEOs, as 7 out of 10 have an active role in it 6 out of 10 companies train their executives for digital transformation, 5 out of 10 companies also work with external consultants, while 4 out of 10 companies will also hire specialized executives.

The company's strategy is:

o at a top management level of 78%

o at the level of CEO at 46.34%

o with the participation of the first line of executives at 46,34%

o in cooperation with specialized consultants at a rate of 29.51%

· For the formulation of the strategy, Managing Directors take into account the company's competitive advantages, technological developments, new trends, existing market opportunities, and potential threats

· For the first time, 3 out of 4 CEOs recognize the diversity of workplace executives as an integral part of their talent strategy

· For the development of their employees, CEOs mainly take into account the skills and behaviors they exhibit (75%) and less achieve the quantitative targets (35%);

· Half of the enterprises develop their employees with a specific plan, while the other half, depending on the needs of the company

· Based on the company's culture, "worker development" is still considered to be the promotion to a higher position at 80.73% and the 60.49% increase in the same subject, while 1 in 2 companies link the "development" of the worker 'with the horizontal movement (change of role or division)

· 87.56% of CEOs want employees to think with out-of-the-box and creativity

· 5 out of 10 CEOs have begun to prepare the next generation of leaders

· 9 out of 10 CEOs consider that there are significant differences between the older and the younger generation of leaders

Mercedes for family and racing track - CLA


The second generation of the model is a family-oriented version of the CLA model, which is a trademark, however attractive.

Mercedes-AMG this time did not increase the convenience in favor of performance, as Shooting Brake strongly radiates sports spirit.

Under the hood is the world's most robust four-cylinder petrol engine, the M139 that runs both standard A45 and CLA models.

In this case, it comes in two variants, with 387 hp and 416 hp under the label CLA 45 S.

CLA 45 from the place up to 100 km / h arrives in 4.1 seconds, while the S variant is fast for that tenth.


The maximum speed is electronically limited to 250 km / h and 270 km / h in the case of CLA 45 S.

The aggressive look is accentuated by the Panamerican refrigerator grille, sports bumpers, while the interior is dominated by digital displays and passenger compartment.

Mercedes will subsequently release information on the price and start of sales.

Portuguese students create an innovative project of Artificial Intelligence.

Four young people from Aveiro and Porto are participating in a scientific internship at the Institute of Systems and Computer Engineering, Technology and Science (INESC TEC) and will develop an "innovative solution" in the area of artificial intelligence.

Portuguese students create an innovative project of Artificial Intelligence.
Portuguese students create an innovative project of Artificial Intelligence.

Tiago Teixeira, Cármen Silva, Ruben Leal, and Renata Lei are between 15 and 18 years old and have been working since Monday at INESC TEC laboratories to develop tasks and small projects related to data science, artificial intelligence, and automatic learning.

Under the motto "How will Artificial Intelligence be in 2030?", The stage, developed under the Live Science Laboratory program, aims to "challenge students to think about how artificial intelligence will impact people's lives."

In an interview with Lusa, José Manuel Mendonça, chairman of INESC TEC's Board of Directors, explained that during the week seven researchers from the institute are working together with the youngsters of secondary education in an attempt to " interest and passion "for science and technology.

"We show them the impact, usefulness, and use of the various technologies that we have in the institute, from taking food to patients in hospitals, to collaborating with workers in factories or performing tasks that are dangerous for humans," he said.

After passing through a series of specialized workshops and taking part in some external visits, the young people will present a final project with a significant impact in 2030, based on an innovative idea, be it a new company, business or technology.

For José Manuel Mendonça, this moment will be the most "challenging" of the whole internship, but also the most important for young people to begin "to train skills related to the creative process."

"They are in an interesting phase because they do not know if they go to bioengineering, computer science or another area and the internship also helps them in this process," he said.

The 23-year Science Live Lab program has already involved more than 16,000 students through scientific laboratory placements throughout the country.

This year, the initiative plans to carry out more than 300 internships in areas as diverse as robotics, 3D printing and renewable energies in 68 institutions nationwide, covering about 1,050 students from the 9th through the 12th grades of schooling.

Artificial Intelligence to calculate the probability of a fire before it happens.

During the summer months, forest fires are frequent throughout the Iberian Peninsula. In Spain, on average, during the last ten years, 28,000 hectares have been burned annually, according to data from the Ministry of Agriculture, Fisheries, and Food. But technology can play a crucial role in improving the response and management of fires.

Artificial Intelligence to calculate the probability of a fire before it happens.
Artificial Intelligence to calculate the probability of a fire before it happens.

In Spain between January 1 and June 16, there have been a total of 6,220 forest fires, almost 4,000 more than in 2018, according to government data. So far this year, nearly 40,000 hectares have been burned, a third more than the average since 2009.

   At European level, June 2019 has been the warmest month of June since records. A situation that facilitates the appearance and spread of fires, as indicated by IBM in a statement.

    To detect and combat fires, the Portuguese company Compta has incorporated Watson, IBM's artificial intelligence, into its Bee2FireDetection solution. This tool can calculate the probability of a fire occurring before it happens.

Bee2FireDetection uses Artificial Intelligence, spectrometers, different digital cameras for video surveillance and thermography (a technique that allows analyzing temperatures at a distance) to detect forest fires at distances of up to 15 kilometers without interruption, 365 days a year.

     The collected images analyze with IBM Watson Visual Recognition, which uses different deep learning algorithms to allow the system to detect any sign of fire, such as a smoke column, a temperature increase or a change of light, and to give the alert, practically in real-time.

This system can also calculate the level of fire risk, combining Watson with a series of meteorological and environmental terrain data, such as relative humidity, wind direction or temperature.

    By collecting and analyzing this massive amount of data, Bee2FireDetection can provide a very accurate forecast of the likelihood of a fire occurring before it occurs. Knowing this risk index allows you to establish an appropriate alert level, and that fire fighting teams can be prepared to act on time.

The artificial intelligence of IBM also allows that Bee2FireDetection can be a handy tool in those cases in which a fire is already active. Taking advantage of Watson's capabilities and the analysis of different meteorological and environmental data, Bee2FireDetection can estimate how the light will evolve on the ground.

    The system can calculate, for example, the speed and direction that the flames could take. Having this valuable and detailed information can help firefighters and other civil protection bodies to plan fire control in a very agile and efficient way.

Can Artificial Intelligence become emotional?

The question of whether devices equipped with Artificial Intelligence (AI) can have their own emotions is open to debate. AI researchers and neurosciences agree that current forms can not have their feelings.

Can Artificial Intelligence become emotional?
Can Artificial Intelligence become emotional?

They have nobody, no hormones, no memories of their interaction with the world, and they have not gone through the process of learning life. They do not have an emotional memory equivalent to that of man, whose construction began in childhood and continues with the learning of life in adolescence and adulthood.

Interpreting is not experiencing
General Artificial Intelligence (AGI), the most modern concept of Artificial Intelligence, is described as a system capable of performing many different activities, such as humans. However, there is still no operational AGI system, and it will take many years to reach this level of AI.

The new companies that work in AGI aim to create systems capable of solving very complex problems while maintaining rational reasoning, but ultimately, the reason is not emotion.

On the other hand, significant advances have been made in the field of Artificial Intelligence to design machines that can mechanically interpret our emotions without having their own, or interact with humans simulating empathy.

It remains an imbalance in terms of communication. The detection of human emotion is a reasonably mature field based on video sensors, microphones, and biometrics, but interpreting emotions is very different from experiencing them.

Difficulties to overcome

First, it is essential to understand what causes emotions and reasoning. An emotional reaction can be caused by an external stimulus that is captured by our senses, by an internal incentive, which could be an alteration in homeostasis (self-regulation of the body), or it could be due to our cognition.

The processing of the stimulus produces changes at an unconscious level in the bodily state, creating what is known as emotion. If it is sufficiently intense, cognitive, social, contextual, and, environmental-related assessments are carried out, generating what we call experienced emotions.

One of the ways to study human emotions is to analyze the unconscious and uncontrollable changes that occur in the human body. Thanks to the latest advances in micromanaging and nanotechnology, we can measure these changes accurately and then study them.

But even with advances in this sense, there remain difficulties to be overcome, such as the problem of inverse inference (there are no specific somatic patterns associated with each emotion), inter individual variations (no two brains are the same) and variations between subjects (the person's brain changes and evolves over time).

All this moves us away from creating an algorithm that is capable of copying how human emotions are produced and convincingly reminds us that computational models are not the human brain, can not replicate their complex functioning and that they are far from doing so.

How will Artificial Intelligence impact public relations?

The beginning of a new year always encourages the interest of analysts and readers to venture their forecasts, particularly on the subject of technology. For 2019, the most mentioned topics were 5G, the eager search for faster networks; the issue of smartphones, particularly those with flexible screens; the arrival of new options for streaming content; 8K monitors and Artificial Intelligence (AI).

AI is the development of computer programs and systems to automate tasks with minor interference by an individual. AI is occupying more and more spaces, consumers are meeting with it in familiar places, and we are getting used to using it in our cars, at home, and work, in short, to the degree that it is already spoken in such a dependency. , that we run the risk of developing obese brains.

AI ​​will soon have a significant impact on the PR industry. But the question is: Will the effect be a reduction in jobs or an improvement in performance?

John Bara, president of a leading company in predictive marketing technology, believes that Big Data and the AI ​​will radically positively change the PR industry.

The PR agencies are pressured by the tons of data that they manage and that they do not manage to make the most of it. The good news is that the AI ​​will help PR companies to process this data to identify patterns of consumer behavior and achieve high efficiency in the dissemination of their content.

What is already around the corner is the value of high-speed data processing. It will allow PR organizations to optimize the way they offer their services. With an improved vision of what their consumers want, the messages generated will be more robust and direct, to the extent that they can be tailored specifically for an individual consumer in real-time, impacting on better results because the messages are more relevant.

Having real-time data will avoid disseminating undesirable content, but at the same time, AI offers another contribution: predictive analysis. SAS, a company specializing in AI and predictive analytics, defines it as "the use of data, statistical algorithms, and machine learning techniques to identify the probability of future results based on historical data. The goal is to go beyond knowing what has happened to provide the best evaluation of what will happen in the future. "

Predictive analysis can identify different types of media, consumers, and opportunities, which is relevant in a world where technology, social networks, and data are continually evolving, as do people and their opinions. The data that was collected yesterday may not be relevant today, and with the AI ​​it is possible to keep up to date the public of interest, people in real-time, according to the tendencies of the industry and the events that are being carried out.

Another notable contribution of AI is that it can eliminate domestic activities from the list of pending tasks and allow public relations teams to focus on creativity and connection with their target audiences. Investing in AI can dramatically improve the way you interact with brands and their audience.

We are just scratching the surface of the AI for use in Public Relations. It's here to boost the industry and resize time. Public relations professionals should not fear the irruption of AI; They should give you the best welcome.

A thesis of the UR combines artificial intelligence and sensors in digital agriculture.

It combines artificial intelligence and non-invasive sensory technologies for the estimation of important agronomic, physiological, and quantitative characteristics in agriculture and digital viticulture. With this thesis, Salvador Gutiérrez Salcedo has obtained the degree of doctor by the UR.

A thesis of the UR combines artificial intelligence and sensors in digital agriculture.
A thesis of the UR combines artificial intelligence and sensors in digital agriculture.

Developed in the Department of Agriculture and Food - within the framework of the Enology, Viticulture and Sustainability program - this thesis has been directed by Javier Tardáguila Laso and María Paz Diago Santamaría, and qualified with outstanding 'cum laude' by unanimity and international mention to the title.

In agriculture and viticulture, a reduction of costs and environmental impact is sought through the making of better decisions. The new advances in non-invasive sensor technology and artificial intelligence allow the acquisition of large amounts of data and its transformation into information to be useful in the decision-making process.

The main objective of this doctoral thesis - one of the first in Spain to address this issue - was to achieve the combination of artificial intelligence and non-invasive sensory technologies for the estimation of important agronomic, physiological and quantitative characteristics in agriculture and digital viticulture.

In this sense, Salvador Gutiérrez developed and published different innovative methodologies. The first was the combination of artificial intelligence and portable spectroscopy algorithms for the monitoring of the vine, opening new ways in digital viticulture for the rapid study of the vine under field conditions.

The new technique developed in constant is beneficial in the wine industry to measure the water status of a vineyard and generate maps of spatial variability.

The last development of the thesis was the use of hyperspectral vision in continuous field conditions and modeled with artificial intelligence techniques. The works on this subject are pioneers in the field of hyperspectral view in agriculture.

Among the applications presented, a system of evaluation of the composition of fruits at a distance and continuously, something that did not exist until now stands out. The results suggest that hyperspectral vision can be used to estimate different aspects of the vineyard and other fruit trees, becoming a powerful and accurate tool for decision making.

The results of the research work carried out in this doctoral thesis, published in six scientific articles, show that artificial intelligence techniques can take advantage of vegetative data captured through non-invasive sensor technology for the development of new solutions and tools of decision support in the agricultural industry.

During his doctoral research, Salvador Gutiérrez Salcedo enjoyed an FPI / CAR contract funded by the University of La Rioja and the Government of La Rioja and conducted a research stay at an internationally renowned robotics research center at the University of Rioja. Sydney (Australia), for which he received the mention of the international doctor.

How Artificial intelligence can re-illuminate any portrait without the need for a depth map.

The future of photography is mainly focused on the development and evolution of image processing. Artificial intelligence is and will remain one of the key elements for these systems. And the next field in which I could participate is in the light design; thanks to a study conducted among researchers and engineers at the University of California San Diego and Google.

How Artificial intelligence can re-illuminate any portrait without the need for a depth map.
How Artificial intelligence can re-illuminate any portrait without the need for a depth map.

This artificial intelligence is inspired by the use of filters created by platforms such as Instagram and recent advances in mobile photography as the function of 'portrait light' found in iPhones. However, while Apple's algorithm changes contrast and brightness settings according to the given scene to create a 'beauty' lighting sensation under study, the algorithm of this artificial intelligence has been trained in how the position of light affects the volume of the face and therefore is able to reconstruct the image information to obtain controlled lighting.

For this study, the researchers used 22 subjects. Eighteen of them were used to train artificial intelligence. The training consisted of illuminating each item from 304 directions of light and seven different points of view. With this training, the AI learned to recognize the bony structures, the direction of light, and how this light affects and modifies the volume of the face. The remaining four subjects were used to validate the training and progress of the study. Although the results are not 100% perfect, the effect achieved so far is very close to achieving total naturalness.

For now, the process used to indicate the lighting of the scene is through an environment map, very similar to some lighting processes in 3D modeling software. Artificial intelligence makes it possible to extrapolate the background subject or maintain the same environmental conditions. This second method still produces bizarre artifacts. By just changing the lighting on the issue, a sensation of disparity of light is generated in the scene.

Being a study conducted in conjunction with Google, it is very likely that this artificial intelligence will be implemented first in the company's mobiles. However, as DIY Photography reports, there is no indication of when the window of the arrival of technology would be to the commercial world.

Hi Introduces Joice, Artificial Intelligence for Customer Relationship

Oi has just announced the launch of Joice, its artificial intelligence designed to make life easier for customers.

As part of the company's digital transformation strategies, which involves enhancing its operational efficiency and providing customer relationship solutions, Joice promises a quality experience in its crucial service channels.

The artificial intelligence of Oi is already active in most communication channels of the company, such as WhatsApp, Messenger, and Twitter, reaching the mark of 1.5 million monthly visits. "Joice is a result of our digital transformation movement, which has already improved processes throughout the company chain, from the digital account to the management of the technician who goes to the customer's home," says Ricardo Drumond, digital director of Oi.

The executive also reveals that Joice now has different service interfaces, focused on customer empathy and being able to solve various issues via WhatsApp. Artificial intelligence offers services such as expiration date information, bar code, invoice delivery, support, technical visit, relocation, among other resources.

Microsoft will transform people into holograms to translate their presentations using artificial intelligence

The mixed reality of Microsoft has advanced considerably in recent years. With HoloLens 2 focused on the business sector, the technology has made a new demonstration of their glasses that show a hologram speaking in Japanese thanks to artificial intelligence.

According to The Verge, Microsoft scanned the body of Julia White, product leader in Microsoft Cloud Platform. White appeared during a keynote of the Inspire 2019 event and with the use of HoloLens 2, the executive invoked her hologram to carry out the conference in Japanese for her business partners.

The Japanese translation is the work of Azure AI, who uses voice samples from the executive to then convert to another language the sentences that White says through a text-to-speech neuronal system.

The executive's hologram was captured in the Microsoft mixed reality study in the same way they did with Buzz Aldrin, who was part of the Destination: Mars experience created by Microsoft and NASA so that people could visit Mars through HoloLens.

The potential to hold conferences in multiple languages ​​using holograms would be possible thanks to artificial intelligence. Like Microsoft, other companies have invested in training machine learning systems to carry out more accurate translations.

A few weeks ago, Google showed the Translatotron; a model can translate the voice to another language without using text in between. This system is based on a network of sequence to a sequence that captures the sound, processes and performs the translation to another language maintaining a voice similar to the original.

Regarding HoloLens 2 and this new feature, Microsoft did not offer more details, although it is a fact that will only be destined to individual customers because the glasses of mixed reality will not be sold to the end-user.

Artificial intelligence to determine what cysts will be pancreatic cancer

A team of scientists, led by US researchers, has shown that a laboratory test using artificial intelligence tools has the potential to determine more precisely which people with pancreatic cysts will develop pancreatic cancer in the future.

The description of the tool, for now, a proof of concept, is published this Wednesday in the journal Science Translational Medicine and according to those responsible, although the results are "exciting, needs to be validated prospectively."

Called "CompCyst" (in English, for the complete analysis of cysts), this test incorporates measurements of molecular and clinical markers of the fluid of the cysts and "seems to be in the way of significantly improving conventional clinical and imaging tests," points out in a note the Johns Hopkins Medicine.

The test was developed from patient data, including those related to symptoms, computed tomography images, and molecular features such as DNA alterations within the fluid of the cyst.

Thus, the molecular profiles of a large number of pancreatic cysts (862) were evaluated, to which information from clinical and radiological data was added in a program that used artificial intelligence to classify patients into three different groups.

Those with cysts without the potential to become tumor and for which periodic monitoring would not be required; cysts that have a small risk of progressing to cancer and for which patients should receive regular monitoring; and cysts for which surgery is recommended due to the high probability of progression to cancer.

The scientists found that surgery was not necessary in 45% of the cases: this unnecessary surgery was performed because the doctors could not determine if the cysts were dangerous.

If CompCyst had been used, 60 to 74% of patients - depending on the type of cyst - could have been saved from unnecessary surgery, according to the same sources.

Pancreatic cysts - sacs of fluid in the pancreas - are universal; they are found in 4% of people in their 60s and 8% of those over 70. Some 800,000 people with pancreatic cyst are identified every year in the US alone, although, the researchers say, only a small part of the these develop cancer.

Although most of these cysts are not cancerous, the dilemma facing patients and doctors is the ability to distinguish between those who are precancerous and cysts that will not progress to the tumor, says Anne Marie Lennon, one of the authors of this work and doctor at the Johns Hopkins Kimmel Cancer Center.

And, the current clinical and imaging tests "often" do not, which makes it challenging to determine which patients will not require follow-up, which ones will need it in the long term and which patients should be treated with immediate removal surgery.

That is why adds Christopher Wolfgang, virtually all people diagnosed with pancreatic cyst are followed up in the long term, and surgeons have to make risk-benefit recommendations with limited information.

"We seldom lose cancer, but it is at the expense of operating that a posteriori may not have been necessary," says Wolfgang, who sums up: this study directly addresses these fundamental problems in the management of these cysts.

Artificial intelligence learns without help from humans to solve the magic cube.

Algorithms capable of solving a magic cube have appeared before, but a new system from the University of California at Irvine uses artificial intelligence to solve the 3D puzzle from scratch without the help of humans. As if that were not enough, he does it with impressive speed and efficiency.

Artificial intelligence learns without help from humans to solve the magic cube.
Artificial intelligence learns without help from humans to solve the magic cube.

New research published this week in Nature Machine Intelligence describes DeepCubeA, a system capable of solving any magic cube it comes across. Most strikingly, it can find the most efficient path to the goal - that is, the solution that requires the least number of moves - by about 60% of the time. On average, DeepCubeA needed only 28 steps to solve the puzzle, requiring 1.2 seconds to calculate the solution.

It looks fast, but other systems have solved the puzzle in less time, including a robot that can solve the cube in just 0.38 seconds. But these systems were designed specifically for the task, using algorithms written by humans to solve the puzzle in the most efficient way possible. DeepCubeA, on the other hand, has learned to solve the magic cube using an artificial intelligence approach known as reinforcement learning.

"Artificial intelligence can defeat the best chess and Go players in the world, but some of the more difficult puzzles, such as Rubik's Cube, were not solved by computers, so we thought they were open to AI approaches," said Pierre Baldi, the lead author of the new article, in a press release. "The solution to the magic cube involves more symbolic, mathematical, and abstract thinking, so a deep learning machine with the potential to solve such a puzzle is closer to becoming a system that can think, reason, plan, and make decisions. "

A specialist system designed for a single task - such as solving a magic cube - will always be limited to that domain, but a system like DeepCubeA with its highly adaptive neural network could be harnessed for other tasks such as solving scientific problems, complex mathematics, and engineering.

"It's a small step toward creating agents who can learn to think and plan on their own in new environments," Stephen McAleer, co-author of the new article, told Gizmodo.

Reinforcement learning works as its name implies. Systems are motivated to achieve a designated goal, during which time they earn points by deploying successful actions or strategies and lose points by deflecting the course. This allows the algorithms to improve over time and without human intervention.

Reinforcement learning makes sense to the magic cube if we take into account the absurd number of possible combinations in the 3x3x3 puzzle, which amounts to about 43 quintiles. Simply choosing random moves in the hope of solving the cube will not work for either the humans or the world's most powerful supercomputers.

DeepCubeA is not the first attempt by these researchers at the University of California at Irvine. His previous system, called DeepCube, used a conventional tree search strategy and a reinforcement learning scheme similar to that used by DeepZind's AlphaZero.

But while this approach works well for one-on-one board games such as Chess and Go, it has been clumsy for the magic cube. In tests, the DeepCube system required a lot of time to do its calculations, and its solutions were far from ideal.

The UCI team used a different approach to DeepCubeA. Starting with a solved cube, the system made random moves to shuffle the puzzle. He learned to be proficient in the magic cube by playing backward.

At first, the movements were few, but the state of confusion became increasingly complicated as training progressed. All in all, DeepCubeA played 10 billion different combinations in two days while working to solve the cube in less than 30 moves.

"DeepCubeA tries to solve the cube using as few moves as possible," explained McAleer. "Consequently, movements tend to look very different from how a human would solve the cube."

After training, the system was tasked with solving 1,000 randomly scrambled magic cubes. In the tests, DeepCubeA found a solution for 100% of all hubs and found a shorter path to the goal of 60.3% of the time. The system required, on average, 28 moves to solve the cube, which occurred in about 1.2 seconds. In comparison, the world's fastest human puzzle solvers need about 50 steps.

"As we discovered that DeepCubeA is solving the cube in fewer moves 60 percent of the time, it's clear that the strategy it's using is close to the ideal, known as God's algorithm," said Forest Agostinelli, co-author of the study. "While human strategies are easily understandable with step-by-step instructions, defining an optimal strategy often requires sophisticated knowledge of group theory and combinatorial analysis. While setting this strategy, mathematically is not within the scope of this article, we can see that the approach that DeepCubeA is employing is not immediately apparent to humans. "

To show the flexibility of the system, DeepCubeA was also taught to solve other puzzles, including sliding games such as Lights Out and Sokoban, which he did with similar proficiency.

"We applied our algorithm to a total of seven puzzles and found that it solved all of them. Therefore, this is evidence that the method can be applied more generally, "Agostinelli said. "We believe that given only one goal and one method to work backward from that goal, artificial intelligence algorithms can not only learn to find a way to the goal but also learn how to do it the most efficiently possible."

Going forward, UCI researchers would like to modify the DeepCubeA algorithm to perform other tasks, such as predicting a protein structure that could be useful for the development of new drugs. They would also like to use the system skills that are used in finding paths to help robots navigate more efficiently in complex environments.

Despite years of research, artificial intelligence does not surpass traditional algorithms solving Rubik's cubes.

Researchers at the University of California have created artificial intelligence, DeepCubeA, capable of solving a Rubik's cube in just 1.2 seconds. And the figure is even more impressive when we know that the world speed record in this task, in the hands of Shenyang Du, stands at 3.47 seconds.

Despite years of research, artificial intelligence does not surpass traditional algorithms solving Rubik's cubes.
Despite years of research, artificial intelligence does not surpass traditional algorithms solving Rubik's cubes.

DeepCubeA was trained using reinforcement learning techniques: it competes against itself thousands of times, without previously having individual instructions, to find a way to find a solution to the problem by minimizing the cost of it.

However, the real news lies not in this difference, but in the fact that this AI system is still three times as slow as min2phase, the fastest algorithm in this field that MIT developed last year and that, oblivious to the use of neural networks, beats AI using a traditional calculation method.

So a simple Rubik's cube is enough to put in doubt that artificial intelligence is always the best option to carry out computational tasks. But how is this?

"Solving Rubik's cube brings machines closer to thinking and planning."
This three-dimensional puzzle, created in 1974 by the Hungarian inventor Erno Rubik and quickly became a bestselling toy that would sell the 350 million units, represents a complex challenge for artificial intelligence due to the particular nature of the problem it poses.

It is because there are possible combinations in a Rubik's cube, but only a particular state to reach a goal (that the six faces of the cube are chromatically homogeneous).

And since it is extraordinarily complicated to reach this state merely by random movements, it becomes a difficult problem to solve optimally using machine learning, as explained by the developers of DeepCubeA in an article published this week in Nature Machine Intelligence.

All about artificial intelligence: what are their main functions and the fears they generate among citizens?

Artificial Intelligence is increasingly present in all corners of society, although it is frequently invisible. Under a technological crust, it is full of breakthroughs and disruptive methods that change people's lives every second, although along the way they are increasingly afraid of the economic impact.

Many people talk about Artificial Intelligence, although the vast majority "plays by ear." It seeks to demonstrate a survey prepared by the VMware technology company called Digital Frontiers 2019, in which it is revealed that 60% of people believe that AI is a robot. In the same study, it was shown that half of the respondents would be willing for the IA to control their money if that "meant faster savings."

Regarding the robotization of industrial processes and Industry 4.0, many respondents are afraid of losing their jobs or being useless to the system. However, many studies reveal that this dark picture is not so since advances in AI also created millions of jobs.

According to the Digital Frontiers report, 58% of respondents believe that AI will help to have new and better professional opportunities. In turn, 49% of users are willing for companies to experiment with new technologies to improve customer service, "although, in the beginning, there are errors." At the same time, 44% believe that these technologies will have a positive impact on the environment in the future.

Despite this, 62% of respondents consider not knowing enough about technologies such as AI, the "Internet of Things" or the "blockchain." 61% of respondents expect companies to help them better understand new technologies.

An essential point of concern among respondents is the question of privacy of personal data. However, 61% of respondents admit that they do not know who accesses their information and a vast majority (66%) have "the paranoia that companies track and record what they do through their devices."