Microsoft is teaming up with Elon Musk's OpenAI, the non-profit artificial intelligence research company. OpenAi announced on Tuesday it will work with Microsoft to start running the cloud platform Azure, making it the primary cloud system that OpenAI uses for deep learning and artificial intelligence, a move Microsoft said it was "excited" about. "OpenAI chose Microsoft due to our deep learning research and ongoing commitment to AI, along with Azure's support for open source technologies and its unique combination of high performance computing, big data and intelligence capabilities such as Azure Batch, Azure Machine Learning and the Microsoft Cognitive Toolkit (formerly CNTK)," said Microsoft in a statement. The partnership will work on "democratizing AI and making it accessible to everyone," Microsoft says. The company plans to make this happen by taking that intelligence and infusing it into everyday devices and apps.

Emerging Technologies Like Advanced Analytics, Machine Learning and Internet of Things Help ... Transparent machine learning: How to create'clear-box' AI NVIDIA (NVDA), Microsoft (MSFT) Enter AI Development Collaboration Focused on Enterprise ... Using AI, Israel's Aperio protects infrastructure from hackers Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

I have a confession to make: I don't cook. I can kick butt in a VR band and assemble a robot in no time flat, but the kitchen is my kryptonite. Apparently I'm not alone, because this crazy smart oven called June is gaining all kinds of attention from people who just aren't crafty when it comes to cooking. The June oven ($1,495) doesn't look particularly smart at first glance -- it's got that stainless steel and glass design that reminds me of one of a fancy-looking toaster oven --but true to its advertising, "June is a precision instrument that's loaded with innovations never seen before in a countertop oven." It's basically a computerized cooking assistant that identifies what you're trying to cook and completely takes over -- in a good way.

President-elect Donald Trump will be able to employ deadly drone strikes largely at his discretion if current guidelines remain in place. And President Barack Obama has no plans to change those rules before he leaves office, the Guardian reported Tuesday. The next president will inherit the so-called drones "playbook" created by the Obama administration in 2013 that dictated policy on drone strikes, the president's main way of striking against terrorism. Since drone usage began under the administration of President George W. Bush, thousands of people have been killed through the targeted strikes from unmanned aircraft and many nations across the globe consider the standards the U.S. applies for drone strikes to be too secretive. "Maybe on the left no one would believe that Trump has a steady hand, but Obama has normalized the idea that presidents get to have secret large-scale killing programs at their disposal," Naureen Shah of Amnesty International USA told the Guardian.

IBM's latest Power servers come with an AI twist. Optimized for deep learning, a new so-called PowerAI toolkit will "help train the systems to think and learn in a more human-like way, at a faster pace," as announced at SC16, the International Conference for High Performance Computing, Networking, Storage and Analysis. I spoke with Hillery Hunter, IBM Research's director of Systems Acceleration and Memory and Memory Strategist, about her team's contribution to the software behind the world's fastest deep learning servers. Hillery Hunter: In this case, AI refers to a collection of deep learning frameworks and algorithms. Today's launch represents our first public offering in hardware-software co-optimization for deep learning.

Meet'Baby Boom': Richard Branson-backed mini-concorde that can fly from London to New York in 3.5 hours is unveiled The subscale XB-1 Supersonic Demonstrator prototype was created by aerospace firm Boom The jet is nicknamed'Baby Boom' and will be scaled up as a passenger plane for 45 passengers The Virgin Galactic tycoon already has options to buy 10 of the new supersonic Boom jets They will reach 1,451mph - 100mph faster than Concorde - and travel from New York to London in 3.5 hours The prototype jet was built in Colorado by former Amazon executive and Boom CEO Blake Scholl The jet is nicknamed'Baby Boom' and will be scaled up as a passenger plane for 45 passengers They will reach 1,451mph - 100mph faster than Concorde - and travel from New York to London in 3.5 hours A sub-scale prototype of a futuristic supersonic passenger airliner has been revealed for the first time, ahead of its official unveiling tonight. Claimed to be the'world's fastest civil aircraft ever made', the XB-1 Supersonic Demonstrator is due to take off on its first test flight in late 2017 and could take passengers from London to New York in 3.5 hours. Millions of devastated Tinder users are forced to spend a... Is Spotify damaging your hard drive? A bug that could harm... Google's self-driving cars can now perform tricky... The smartwatch that NEVER needs charging: Timepiece draws... Millions of devastated Tinder users are forced to spend a... Is Spotify damaging your hard drive?

WhatsApp has introduced a new feature likely to strike fear into the hearts of its competitors: video calling. After months in the beta stage, the Facebook-owned tech giant rolled out the update on Tuesday to its more than one billion monthly users. The latest feature could be bad news for rivals such as Skype and Apple's Facetime, as Whatsapp ups the ante in its effort to position itself as a one-stop-shop for communications. Facebook employees'form secret task force' to purge fake news Russia to ban LinkedIn, leading fears of crackdown on internet freedom Yahoo admits it knew about huge data breach for two years Facebook employees'form secret task force' to purge fake news Users will be able to make video calls across Android, iPhone, and Windows Phone devices in the coming days, according to a statement posted on the company's blog. The new functionality looks similar to the normal voice calling feature, however a picture-in-picture feed will allow you to see yourself and who you're talking to.

It's been hard to ignore bots and virtual assistants lately. Google is integrating its Google Assistant into its smartphones, home devices, and Allo messaging service. Amazon's smart-home Echo device is becoming an "unlikely hit" among American households, selling an estimated 3 million devices since its launch in 2014. And, of course, every day sees a new article about a new bot service, smart messaging service, or digital virtual assistant. In the coverage of bots and AI, however, everything seems to bleed together -- AI, chatbots, personal assistants, voice control, and self-driving cars.

Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiency through a new chip architecture based on spiking neurons, low precision synapses, and a scalable communication network. Here, we demonstrate that neuromorphic computing, despite its novel architectural primitives, can implement deep convolution networks that (i) approach state-of-the-art classification accuracy across eight standard datasets encompassing vision and speech, (ii) perform inference while preserving the hardware's underlying energy-efficiency and high throughput, running on the aforementioned datasets at between 1,200 and 2,600 frames/s and using between 25 and 275 mW (effectively 6,000 frames/s per Watt), and (iii) can be specified and trained using backpropagation with the same ease-of-use as contemporary deep learning. This approach allows the algorithmic power of deep learning to be merged with the efficiency of neuromorphic processors, bringing the promise of embedded, intelligent, brain-inspired computing one step closer. The human brain is capable of remarkable acts of perception while consuming very little energy.

The client required a solution involving Artificial intelligence to disintermediate the process between vehicle buyers/seller and the platform. The client required a solution involving Artificial intelligence to disintermediate the process between vehicle buyers/seller and the platform. Maruti Techlabs designed a solution using SMS-Bot. In the first month of implementation, SMS-Bot dispatched 9793 initial offers and client observed 5.5% increase in the initial offers generated. Maruti Techlabs designed a solution using SMS-Bot.