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Information Technology

AI Can Create Synthetic Fingerprints That Work as Master Keys for Smartphones

Researchers from New York University have found a way to produce fake fingerprints using AI that could fool biometric scanners (or the human eye) into thinking they are real. According to the researchers that developed the technique, the attack can be launched against individuals with “some probability of success.” Known as DeepMasterPrints, these artificially generated fingerprints are similar to the master key for a building. To create a master fingerprint the researchers fed an artificial neural network—a type of computing architecture loosely modelled on the human brain that “learns” based on input data—the real fingerprints from over 6,000 individuals. The DeepMasterPrints, as the researchers are calling them, replicated 23% of fingerprints in a system that supposedly has an error rate of one in a thousand. Read More

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Legal

AI Outperformed 20 Corporate Lawyers at Legal Work

In a recent study, LawGeex, a legal tech start-up, challenged a group of 20 experienced lawyers to test their skills and knowledge against its AI-powered algorithm. The group included associates and inhouse lawyers from global firms such as Goldman Sachs, Cisco and Alston & Bird, as well as general counsel and sole practitioners. The task was to review risks contained in five non-disclosure agreements (NDAs). The AI matched the top-performing lawyer for accuracy – both achieved 94%. Collectively, the lawyers managed an average of 85%, with the worst performer recording 67%. In terms of speed, the AI far surpassed the legal minds, taking just 26 seconds to review all five documents compared to the lawyers’ average speed of 92 minutes. Read More

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Media

AI Seamlessly Translates Video Content into Various Languages

Synthesia, a company focused on using artificial intelligence has created ENACT, a native dubbing feature that uses generative AI to seamlessly translate video content into various languages. The program synchronizes the lip movements of an actor with that of a voice actor speaking a specific language, thereby lifting the barriers of language and allowing content creators further reach. ENACT enables translation without the creative casualty of dubbing or subtitling, resulting in a seamless experience for the viewer. Native dubbing is a new method of translating video content that utilises AI to synchronise the lip movements of an actor to a new dialogue track. Read More

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Human Resource

AI Aids 'Extreme’ Human Resource Screening Tactics

In recent times, employee vetting, includes social media background checks, to gain information about employees or prospective hires. Fama is such a tech platform that works by applying machine learning to public online content and internal HR data. The system has filters that look for sexist or bigoted comments as well as flags that indicate “violence, drugs, and crime”. Fama brings to light questionable social media posts - no matter how old they are -- and presents them directly to employers for consideration. On similar lines, Predictim, offers algorithmic social media background checks for parents hiring babysitters. The system searches user profiles and rates each candidate on a scale of 1 to 5 based on their posts -- with 5 representing a "high-risk" hire. Read More

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Auto

AI Promises to Sense Your Emotions, Prevent Crashes

Boston-based Affectiva has developed technology that uses artificial intelligence to interpret your emotions. The company's technology monitors your face and tracks changes from yawns to eye movements and alerts you when you need to focus. The technology offers suggestions based on the feedback. If you’re distracted, it reminds you to look at the road. If you show signs of fatigue, it suggests stopping at a local coffee shop, playing some upbeat music, or turning up the air-conditioning. The developers say the goal is to "humanize technology”, and take that interaction to the next level, and provide suggestions the next time you’re cut off in traffic, for example. Affectiva captured massive amounts of data to make sure it can tell the difference between a smile and smirk. The company has analyzed 7 million faces in 87 countries. Read More

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Healthcare

AI-Powered Assistant for Nurses and Doctors

Streams is a mobile healthcare app developed by DeepMind Health, a subsidiary of AI research company DeepMind. The Streams app is currently helping medical professionals in the UK to address the problem of “failure to rescue,” a term for what happens when a patient dies from a preventable condition because they didn’t receive the right treatment in time. The app does this by consolidating all of a patient’s medical data. Everyone treating the patient can enter information into their file directly from the app, and the app can then send alerts to healthcare workers as soon as signs of a potentially life-threatening problem arise. Read More

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Media

AI Start-up is Helping to Write Select Sports and Finance Articles

Spanish AI startup Narrativa is now helping to write select sports and finance articles for major Spanish media with its AI dubbed Gabriele. Select sports articles in Spanish media outlets El Confidencial, SPORT, El Periódico and El Español as well as the financial narratives of the newspaper El Independiente are being written by Gabriele. The AI developed by the Spanish startup Narrativa is capable of interpreting statistics data and generating news automatically. In addition, users can customize the language and tone according to the editorial style of the medium, guaranteeing its uniformity with the rest of the content. This allows a greater generation of content at a lower cost and greater speed while being able to reach niche audiences. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

Silicon Could Bring Quantum Computers to The Masses

Intel recently revealed its tiniest silicon-based “spin qubit” chip balanced on a pencil eraser. The chip is powered by qubits that are each more than a thousand times smaller than a single strand of hair. In a typical superconducting quantum computer, qubits live in small loops of superconducting wire cooled to very low temperatures. Intel’s transistor-free chip relies on a more manageable, readily available, and quintessentially traditional component: silicon. Some researchers say the retro element that inspired an industry might be key for the next phase of quantum computing. Read More

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Quantum Computing

Quantum Computing is Enabling Breakthroughs in Chemistry

Quantum computing is expected to solve computational questions that cannot be addressed by existing classical computing methods. Researchers think that the very first discipline that will be greatly advanced by quantum computers is quantum chemistry. The breakthrough by scientists at Cambridge Quantum Computing (CQC) and their partners at JSR Corp was the ability to model multi-reference states of molecules. Multi-reference states are often needed to describe the “excited states” arising when molecules interact. The reason such modelling is significant is that “classical” digital computers find it virtually impossible to tackle multi-reference states; in many cases, classical computing methods fail not only quantitatively but also qualitatively in the description of the electronic structure of the molecules. An outstanding problem—and the one recently solved—is to find ways that a quantum computer can run calculations efficiently and with the required chemical accuracy to make a difference in the real world. Read More

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