When you have a photo and want to find a higher resolution copy online, you can use tools like Google Image Search and TinEye. They work in a very specific way extracting specific patterns and how they contrast with their surroundings. That works well for finding alternate copies of the same image, but it's not so great if you try to go deeper. Enter Clarifai, which creator Matthew Zeiler claims improves upon the techniques used by Google and Tineye by way of superior artificial intelligence. "We understand images and video automatically with a whole variety of different'models' as we call them," Zeiler explained to Motherboard.

Cancer is fast turning into an epidemic in India.According to a study by The National Cancer Institute (NCI), every 13th new cancer patient in the world is an Indian. In 2016, the total number of new cancer cases is anticipated to be around 14.5 lakh and that figure is likely to reach nearly 17.3 lakh in 2020, as per a study by The Indian Council of Medical Research (ICMR). Such numbers exacerbate the magnitude of healthcare issues in the country. The first step towards addressing this mammoth task is access to healthcare. The country also needs to integrate technology into the healthcare system.

In the burgeoning field of computer science known as machine learning, engineers often refer to the artificial intelligences they create as "black box" systems: Once a machine learning engine has been trained from a collection of example data to perform anything from facial recognition to malware detection, it can take in queries--Whose face is that? Is this app safe?--and spit out answers without anyone, not even its creators, fully understanding the mechanics of the decision-making inside that box. But researchers are increasingly proving that even when the inner workings of those machine learning engines are inscrutable, they aren't exactly secret. In fact, they've found that the guts of those black boxes can be reverse-engineered and even fully reproduced--stolen, as one group of researchers puts it--with the very same methods used to create them. In a paper they released earlier this month titled "Stealing Machine Learning Models via Prediction APIs," a team of computer scientists at Cornell Tech, the Swiss institute EPFL in Lausanne, and the University of North Carolina detail how they were able to reverse engineer machine learning-trained AIs based only on sending them queries and analyzing the responses.

During my commute the other day, I ended up on a dark subway car. The train still had power--the air conditioning was on, the announcements were coming through--but all the lights were dead. I live near an above-ground stop, so at first there was morning sunshine coming in through the windows. But when the train went underground, we were plunged into complete darkness. I found myself suddenly in a sea of floating, ghostly faces, illuminated by the glow of smartphones.

Toyota has revealed it's latest artificial intelligence creation, and this time, it's a robot baby named'Kirobo Mini'. A link has been sent to your friend's email address. Toyota has revealed it's latest artificial intelligence creation, and this time, it's a robot baby named'Kirobo Mini'.

In recent months, several prominent champions of technology -- Bill Gates, Stephen Hawking, and Tesla founder Elon Musk among them -- have declared that the greatest threat to humankind is not climate change, nuclear warfare, religious fanaticism or bacterial superbugs. No, according to these famous forward-thinkers, the threat we should really be worried about is advanced artificial intelligence. That is, we should be worried about supersmart robots and computers guided by a globally networked über-entity that will one day be able to outlearn, outthink and outcompete the human species and send it hurtling toward extinction. Late last year, Hawking, a physicist, came right out and told the BBC: "The development of full artificial intelligence could spell the end of the human race." In a recent symposium at the Massachusetts Institute of Technology, Tesla's Musk said that creating advanced artificial intelligence was "summoning the demon."

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

There is good content in this book, but its reliability is called into serious question by some very irritating and careless errors. In more than one place, the book gives a link for "extras" that are allegedly available. This link is invalid; there is no such page at the dummies.com This is so egregiously over the line that I am being generous in giving this book more than one star. How careless can you be not to ensure that a link on your own site works?

Deep learning efforts today are run on standard computer hardware using convolutional neural networks. Indeed the approach has proven powerful by pioneers such as Google and Microsoft. In contrast neuromorphic computing, whose spiking neuron architecture more closely mimics human brain function, has generated less enthusiasm in the deep learning community. Now, work by IBM using its TrueNorth chip as a test case may bring deep learning to neuromorphic architectures. Writing in the Proceedings of the National Academy of Science (PNAS) in August (Convolutional networks for fast, energy-efficient neuromorphic computing), researchers from IBM Research report, "[We] demonstrate that neuromorphic computing, despite its novel architectural primitives, can implement deep convolution networks that approach state-of-the-art classification accuracy across eight standard datasets encompassing vision and speech, perform inference while preserving the hardware's underlying energy-efficiency and high throughput."

Major technology firms have joined forces in a partnership on artificial intelligence, aiming to cooperate on "best practices" on using the technology "to benefit people and society." Microsoft, Amazon, Google, Facebook, IBM, and Google-owned British AI firm DeepMind on Wednesday announced a non-profit organization called "Partnership on AI" focused on helping the public understand the technology and practices in the field. The move comes amid concerns that new artificial intelligence efforts could spin out of control and end up being detrimental to society. The companies "will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology," according to a statement. Academics, non-profit groups, and specialists in policy and ethics will be invited to join the board of the Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI).