In turn, Google will contribute to Movidius' neural network technology roadmap. This agreement enables Google to deploy its advanced neural computation engine on Movidius' ultra-low-power platform, introducing a new way for machine intelligence to run locally on devices. Local computation allows for data to stay on device and properly function without internet connection and with fewer latency issues. This means future products can have the ability to understand images and audio with incredible speed and accuracy, offering a more personal and contextualized computing experience. "What Google has been able to achieve with neural networks is providing us with the building blocks for machine intelligence, laying the groundwork for the next decade of how technology will enhance the way people interact with the world," said Blaise Ag?era y Arcas, head of Google's machine intelligence group in Seattle.

Twitter trolls made a dummy out of Microsoft's artificial intelligence chat robot, which learns through public interaction, by turning it into a pro-Nazi racist within a day of its launch. Tay, the artificial intelligence (AI) robot, had a bug in which it would at first repeat racist comments, then it began to incorporate the language in its own tweets. The tweets have been deleted, Tay has been paused, and Microsoft said it's "making some adjustments," the International Business Times reported. "Tay is an artificial intelligent chat bot developed by Microsoft's Technology and Research and Bing teams to experiment with and conduct research on conversational understanding. Tay is designed to engage and entertain people where they connect with each other online through casual and playful conversation. The more you chat with Tay the smarter she gets, so the experience can be more personalized for you," Tay's information page states on Twitter.

Linear regression is perhaps one of the most well known and well understood algorithms in statistics and machine learning. In this post you will discover the linear regression algorithm, how it works and how you can best use it in on your machine learning projects. You do not need to know any statistics or linear algebra to understand linear regression. This is a gentle high-level introduction to the technique to give you enough background to be able to use it effectively on your own problems. Linear Regression for Machine Learning Photo by Nicolas Raymond, some rights reserved.

I know everybody thinks that artificial intelligence, the phenomenon, not the mediocre Steven Spielberg film, is going to be the end of humanity because it's going to become self-aware one day and decide to exterminate the human race. Well it turns out that A.I. will indeed want to kill humans, but only because we taught it to. This is the Twitter account of Tay, Microsoft's teen girl AI system that was supposed to learn how to speak like your average teenage girl. What was unique about Tay was that she was going to be taught entirely from her interactions with other people on the internet. It was an exercise Microsoft partook in to improve its customer service software as well as a huge PR opportunity.

For human lip readers, context is key in deciphering words stripped of the full nuance of their audio cues. But a technology model for lip-reading developed at the University of East Anglia in the UK has been shown to be able to interpret mouthed words with a greater degree of accuracy than human lip readers, thanks to the application of machine learning tech to classify the visual aspect of sounds. And the kicker is the algorithm doesn't need to know the context of what you're discussing to be able to identify the words you're using. While the model remains a piece of research at this stage, there are scores of potential applications for technology that could automagically transform visual cues into accurate speech -- whether it's helping people who have audio impairments, or enhancing audio-less security video footage with additional speech data -- or even to try to figure out exactly what charged word one footballer spat at another in the heat of a match… Such a tech could also be applied as a fallback for poor audio quality on a mobile or video call. Or even perhaps to power a front-facing camera-based mobile'voice' assistant which you wouldn't actually have to speak to but could just discreetly mouth commands at (how cool would that be?).

The last few years have been quite active on many different fronts, such as technology, health, and the social scene. ID Labs is looking ahead to identify major emerging trends and how they impact different domains of present-day society. One of the rising trends that will change how we interact with our personal devices and visualize media is Virtual Reality. The basic concept of Virtual Reality is to view alternate realities in immersive 3D environments. Many big tech companies started the race of producing VR headsets, such as Sony, Samsung, Oculus (owned by Facebook), HTC, Google, and others.

If the lip-reading technology had been used during the 2006 World Cup Final, when Zinedine Zidane was given a red card for headbutting Marco Materazzi, the outcome of the game could have been different. Closer analysis of the event revealed that Zidane responded to Materazzi insulting his family. "If we'd had live lip-reading technology they probably would have both been red carded," said Dr Helen Bear, a researcher at the University of East Anglia in Norwich who has developed a lip-reading artificial intelligence program. The new technology can lip-read better than humans could help solve crimes by analysing speech in CCTV footage. The visual speech recognition technology can decipher human conversation in videos when there isn't clear audio available, as is often the case with surveillance footage.

LONDON/BRUSSELS – Facial recognition software, scanners that detect weapons and cameras that spot nervous people are some of the technologies that could be used more widely to secure public places, but some would require greater acceptance of surveillance in Europe. The deadly attacks in Brussels on Tuesday highlighted the vulnerability of Europe's airports and transport systems. European Union officials, grappling with the conundrum of how to increase security while retaining the openness of society, have convened meetings to discuss aviation and land transport security. Their goal is to be able to monitor passengers unobtrusively while minimizing additional hold ups that create crowds, which can themselves become new targets. Experts say technology cannot solve the problem on its own, but techniques such as facial recognition able to pick out known suspects can help if Europeans decide they want more surveillance.

Walking around my office on a recent morning, a female voice on my iPhone narrated the objects I passed. "Brick," "wall," "telephone," she said matter-of-factly. The voice paused when I came upon a bike hung on a wall-mounted rack, then intoned, "bicycle." The voice is part of a free image-recognition app called Aipoly that's trying to make it easier for those with vision impairments to recognize their surroundings. To use it, you point the phone's rear camera at whatever you want it to identify, and Aipoly will speak what it sees (or, at least, what it thinks it sees) and show the object's name on the phone's display.

WASHINGTON (AP) -- The seven Iranian hackers charged with attacking dozens of banks and a small dam near New York City may never see the inside of a courtroom, but U.S. officials hope their "name and shame" tactic sends a message to foreign governments that support such attacks. Indictments announced Thursday by the Justice Department portrayed Tehran-linked hackers reaching into the U.S. infrastructure and disrupting its financial system. It was the first time the FBI attributed a breach of a U.S. computer system that controls critical infrastructure to a hacker linked to a foreign government. None of the individuals is in American custody and it's unclear if they'll ever be arrested or whether criminal indictments in absentia effectively combat such crimes. Publicly naming and shaming such crimes linked to foreign governments is a tactic focused on by the Justice Department since 2012.