Venture capitalists pride themselves on their ability to pick winning ideas and winning people. But could artificial intelligence do a better job? Founders Factory, a U.K. startup accelerator, has developed an AI platform that identifies high-potential entrepreneurs. The hope is to avoid the unconscious bias that normally privileges some demographic groups and backgrounds, and prevents others from getting ahead. "I was interested in getting around the bias of selection, that if you've gone to a good school or university, you probably have a good network and a good chance of doing fairly well," says Tom Bowles, who created the software.

Bruce Wilcox is the director of natural language strategy for Kore. The discussion around robots has only increased in the past few years -- especially when things like IBM Watson and Siri are well-known topics for everyday conversation. But beyond the physical capabilities of robots, the bigger question is what robots' minds will be capable of in the future. How will we communicate with a robot's mind? Will it only act in the physical world or will it also be able to act in the Internet world?

A patient walks into the emergency department at Rush University Medical Center with a fever and bloodshot eyes. In days of yore, doctors would have to exhaustthe obvious possibilities - like a flu or allergic reaction - before finally figuring a patient was suffering from Zika virus. Artificial Intelligence (AI) is a modern computing field that attempts to augment machine development to the point where it transcends human intelligence. The subject incorporates the concepts of computation and statistics with brain physiology, to create autonomous sentient machines capable of extrapolating independent conclusions. The success to creating a successful AI is contingent upon success... Have you heard the one about how our jobs are about to be snatched away by machines?

This month Nvidia bolstered its GPU strategy to stretch further into deep learning, high performance computing, and other markets, and while there are new options to consider, particularly for the machine learning set, it is useful to understand what these new arrays of chips and capabilities mean for users at scale. As one of the companies directly in the lens for Nvidia with its recent wave of deep learning libraries and GPUs, Baidu has keen insight into what might tip the architectural scales--and what might still stay the same, at least for now. Back in December, when we talked to one of the lead scientists at Baidu's Silicon Valley AI Lab, Bryan Catanzaro, we dug into how teams there make architectural decisions to power deep learning for speech recognition and other services. At the time, he told us about their use of Nvidia Titan X GPU cards as the most cost efficient option for the computationally-intensive task of model training, despite the availability of other GPUs, including the M40 and for the inference phase, M4 as well as other more powerful GPUs, including the supercomputing oriented Tesla K80. Following GTC16, where Nvidia announced its forthcoming Pascal architecture, yet another possible option for these workloads emerged in the form of the P100, which have detailed rather extensively here and here.

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.

In response to increases in the number of security threats and in the volume of traffic on the network, the various research and development (R&D) laboratories at NTT (hereafter, NTT R&D) are carrying out R&D to address social issues, reinforce industrial strength, help revitalize local economies, and thereby build a better society by providing advanced technologies that enable information and communication technology (ICT) to further penetrate our lives. Toward these ends, NTT R&D is focused on networking, cloud, security, and basic technologies that provide foundations for those technical areas. This article first addresses artificial intelligence (AI) and the Internet of Things (IoT), both of which have come under the spotlight in recent years. AI has become a hot topic and aims at duplicating the intellectual faculties of humans using machines. The workings of the human brain can be regarded as consisting of three processes: 'recognition/understanding of the external world,' 'inferring/judging,' and'providing feedback to the external world.' Based on this understanding, AI is beginning to be used in a number of different fields. What are the intellectual faculties of humans? Human activity for perceiving/recognizing the external world means recognizing not only objects and people but also human emotions and nuances of human expression.

With classic test tooling, we tell the computer to follow a series of steps, and then check the results against... This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.

A trip to Iceland wouldn't be complete without a dip in the Blue Lagoon, a man-made geothermal pool on Reykjanes peninsula. A trip to Iceland wouldn't be complete without a dip in the Blue Lagoon, a man-made geothermal pool on Reykjanes peninsula. The premise is simple: Correspondents, editors and producers from our newsroom share the pieces that have kept them reading, using the #NPRreads hashtag. Each weekend, we highlight some of the best stories. You have storms, you have darkness, but the pool is a place to find yourself again.

This week it became more clear than ever that the Apple-FBI fight was just the beginning of a new wave of encryption fights. Vibes announced that it would enable encryption by default for its 700 million users--and since it's a foreign company, Congress won't be able to do a thing about it. Oh, and that San Bernadino iPhone that caused all the fuss? Sounds like the FBI paid over a million bucks to a third party to access it. There were also hearings about encryption on Capitol Hill this week, though whatever legislation Congress does come up with would be much more informed if the Office of Technology Assessment hadn't been axed 20 years ago.

As we go about our daily lives, we tend to assume that our perceptions -- sights, sounds, textures, tastes -- are an accurate portrayal of the real world. Sure, when we stop and think about it -- or when we find ourselves fooled by a perceptual illusion -- we realize with a jolt that what we perceive is never the world directly, but rather our brain's best guess at what that world is like, a kind of internal simulation of an external reality. Still, we bank on the fact that our simulation is a reasonably decent one. If it wasn't, wouldn't evolution have weeded us out by now? The true reality might be forever beyond our reach, but surely our senses give us at least an inkling of what it's really like. Not so, says Donald D. Hoffman, a professor of cognitive science at the University of California, Irvine. Hoffman has spent the past three decades studying perception, artificial intelligence, evolutionary game theory and the brain, and his conclusion is a dramatic one: The world presented to us by our perceptions is nothing like reality.