Information Technology: AI-Alerts


Has Tinder lost its spark?

The Guardian

On paper, it's a great time to be on a dating app. In the seven years since Tinder's entrance on to the dating scene in 2012, it has gone from fringe novelty to romantic ubiquity; within two years of launching, it was seeing 1bn swipes a day. Other apps have similarly impressive stats: in 2018, Bumble's global brand director revealed it had more than 26 million users and a confirmed 20,000 marriages. It's a far cry from the considerably less optimistic response Tinder received when it launched. Many hailed it as the end of romance itself.


Microsoft Quantum Algorithm Boosts Medical Imaging

#artificialintelligence

Researchers at Microsoft and Case Western Reserve University researchers developed an algorithm for a future quantum computer that served to enhance the speed and quality of medical imaging. Microsoft and Case Western Reserve University researchers have enhanced the speed and quality of medical imaging with an algorithm designed to work on a future quantum computer. The researchers focused on a type of medical imaging called magnetic resonance fingerprinting (MRF). While running the quantum algorithm on a conventional computer resulted in a significant increase in the speed and precision of the MRF scans, the results would have been even more impressive on a large-enough quantum computer. The development is the latest in a series of projects in which researchers have used algorithms designed for future quantum computers to improve calculations running on today's existing hardware.


Tesla has a huge incentive to deploy self-driving tech. But is the world ready?

#artificialintelligence

Along with sustainable electric transportation, he views autonomy as a core element of Tesla Inc.'s "fundamental goodness." Humans will be freed of the tedium of driving, he told Wall Street last year. Millions of lives will be saved. There is another incentive for Musk to put driverless cars on the road, though. The day he does that, hundreds of millions of dollars' worth of stored-up revenue become eligible for a trip straight to Tesla's perpetually stressed bottom line.


Visa to Add Supervised Machine Learning to Its Fraud Protection Portfolio

#artificialintelligence

Complex algorithms utilized in data analytics are called unsupervised machine learning, but image recognition or besting the Go champion utilizes supervised machine learning; technology that utilizes neural networks. "The new platform is expected to test algorithms that use an advanced form of AI called deep learning, a technique that has the potential to identify more complex patterns than traditional machine-learning algorithms. "It's a massive breakthrough for us," Mr. Taneja said. Visa currently uses machine-learning algorithms to sift through data to identify anomalies, an effort that prevents billions of dollars in fraudulent transactions annually, Mr. Taneja said. One such Visa fraud-detection system, Advanced Authorization, prevented about $25 billion in fraud in the year ended April 30, according to the company. But the current models have limitations. Researchers must know the signals that might indicate fraud--such as a purchase taking place at an unusual time of day--and write the rules to tell the model what to do when it identifies suspicious activity. Criminal activity sometimes slips by unnoticed because hackers are getting more sophisticated at evading the warning signs that current machine-learning models are trying to detect. Deep-learning models can automatically identify more complex patterns by themselves. For example, if a customer uses his or her card in another country for the first time, deep-learning algorithms will be able to tell, with more accuracy and fewer false positives than traditional machine learning, whether it's a legitimate transaction. The algorithms will be able to take into account previous transactions at airlines and hotels, as long as they are made with Visa cards."


Users Can Sue Facebook Over Facial Recognition Software, Court Rules

NPR Technology

The 9th Circuit U.S. Court of Appeals said Thursday that Facebook users in Illinois can sue the company over its use of facial recognition technology. The 9th Circuit U.S. Court of Appeals said Thursday that Facebook users in Illinois can sue the company over its use of facial recognition technology. A U.S. court has ruled that Facebook users in Illinois can sue the company over face recognition technology, meaning a class action can move forward. The 9th Circuit U.S. Court of Appeals issued its ruling on Thursday. According to the American Civil Liberties Union, it's the first decision by a U.S. appellate court to directly address privacy concerns posed by facial recognition technology.


Cutting the cord with Vizio's new V436 TV

USATODAY - Tech Top Stories

When it comes to pure, cutting the cord TVs, Amazon's Fire TV Edition paved new ground in 2018. It was low-priced and aimed at folks who were happy ditching cable, plugging in an antenna and using the set to watch Internet programming. Vizio's new V436-61, just out, goes even further. It does all of that, and more. Instead of just being able to use voice commands via the Amazon Alexa assistant, Vizio lets you use Apple's Siri and the Google Assistant as well.


South Wales police to use facial recognition apps on phones

The Guardian

South Wales police are to have a facial recognition app installed on their phones to identify suspects without having to take them to a police station. The force intends to test the app over the next three months with 50 officers using the technology to confirm the names of people of interest who are stopped on routine patrols. The app will allow officers to run a snapshot of a person through a database of suspects called a watchlist, and find potential matches even if the individual gives false or misleading information. The move is the latest sign that police forces in Britain are eager to embrace the controversial technology which has been criticised for infringing privacy and increasing state powers of surveillance. Liberty, the campaign group, called the announcement "chilling", adding that it was "shameful" that South Wales police had chosen to press ahead with handheld facial recognition systems even as it faced a court challenge over the technology.


Robot, heal thyself: scientists develop self-repairing machines

The Guardian

From picking fruit to carrying out minor surgery, soft robotic hands made from jelly-like plastic are thought by scientists to be the future solution to many human needs. But being gentle and soft enough to avoid damaging fruit or flesh has made the robots prone to damage and left them largely impractical for use in the real world – until now. A European commission-funded project, led by scientists at the Free University of Brussels and the University of Cambridge, aims to create "self-healing" robots that can feel pain, or sense damage, before swiftly patching themselves up without human intervention. The researchers have already successfully developed polymers that can heal themselves by creating new bonds after about 40 minutes. The next step will be to embed sensor fibres in the polymer which can detect where the damage is located.


Amazon's self-driving delivery robots are coming to California

USATODAY - Tech Top Stories

This undated photo provided by Amazon shows a self-driving delivery robot that Amazon is calling Scout. Amazon is expanding the use of its self-driving delivery robots to a second state. NEW YORK – Amazon's self-driving robots will be roaming the streets of another neighborhood. The online shopping giant said Tuesday that the six-wheeled robots, about the size of a smaller cooler, will begin delivering packages to customers in Irvine, California. It comes after Amazon began testing them in a suburb of Seattle at the beginning of the year.


Here's how researchers are making machine learning more efficient and affordable for everyone

#artificialintelligence

The research and development of neural networks is flourishing thanks to recent advancements in computational power, the discovery of new algorithms, and an increase in labelled data. Before the current explosion of activity in the space, the practical applications of neural networks were limited. Much of the recent research has allowed for broad application, the heavy computational requirements for machine learning models still restrain it from truly entering the mainstream. Now, emerging algorithms are on the cusp of pushing neural networks into more conventional applications through exponentially increased efficiency. Neural networks are a prominent focal point in the current state of computer science research.