The catalyst builds on last year's demonstration which was awarded'Most Significant Contributor to a Catalyst Program of New Technology Solutions'. It will be showcasing the ability to dynamically adjust virtualized network functions in real time and monitor them constantly to maximize both technical performance, resource utilization and, critically, business profitability. Achieving this enables the service provider to continually achieve a network that is truly optimized, not only technically but also against business criteria. Dr Jay Perrett, CTO of Aria Networks comments: "The end goal for service providers is a highly-automated business, based on intelligent consideration of all the factors that can affect profitability, from moment to moment. SDN and NFV add to the range of options that service providers have, which means more complex decisions to make. That's the sort of problem that only AI can solve."

When Robyn Exton first launched her dating and social networking app for lesbians and bisexual women, a lack of cash for advertising meant she'd go to nightclubs armed with bottles of spirits. "In the early days I'd go to nightclubs with a bottle of sambuca in one hand, and tequila in the other, and encourage girls to download the app in return for a shot," says the 29-year-old. Then at UK lesbian, gay, bisexual and transgender (LGBT) festivals Manchester and Brighton Pride, she targeted women by standing outside the portable toilets handing out toilet paper with flyers promoting the app. This was back in 2013, and Ms Exton's low cost, but innovative, approach to marketing soon saw user numbers rise steadily, then further gaining traction thanks to positive word of mouth. Founded in London, but with its headquarters moving to San Francisco last year in order to be closer to US investors, and to be in the thick of the burgeoning social network scene, the Her app now has more than one million female users around the world.

Qualcomm has been talking about their deep learning machine intelligence platform, Zeroth, for a number of months now. When the company first started talking about including the technology into System-on-Chips, this might have meant that the Snapdragon 820 was going to include a Qualcomm Neural Processing Unit, or NPU, as part of the hardware. Instead, Qualcomm included the Zeroth software on the device rather than a core. Over the weekend, Qualcomm has announced that they are releasing the Zeroth SDK so that developers can start to utilize this specialist software on the device rather than relying on cloud computing to process this data. Neural processing has been used for a number of years now.

The article goes on, "Qualcomm Technologies, with the introduction of the Snapdragon Neural Processing Engine, is the first mobile SOC provider to offer a deep learning toolkit optimized for mobile. This SDK will allow OEMs to run their own neural network models on Snapdragon 820 devices such as smart phones, security cameras, automobiles and drones, all without a connection to the cloud. Common deep learning user experiences that can be realized with the SDK are scene detection, text recognition, object tracking and avoidance, gesturing, face recognition and natural language processing. The Zeroth Machine Intelligence Platform is a Snapdragon-optimized software platform designed for mobile machine learning. Zeroth technology currently drives visual intelligence software such as Snapdragon Scene Detect and advanced malware detection software found in Snapdragon Smart Protect."

The answers to these questions determines how you respond to the situation. If there are people moving in and out of the house and loud music playing, it's probably a party. If no one is visible and the house is dark, you might be witnessing a break-in -- or someone may simply have forgotten to latch the door properly. We assign "weights" to these probabilities and evaluate the situation accordingly -- and we do it unconsciously and at extraordinary speed compared with a conventional computer. Conventional neural networks try to duplicate this process.

The Verge reports "The benefits of machine learning continue to trickle down to smartphones and gadgets, and chipmaker Qualcomm wants to help speed up the process. The company is launching a new software development kit for its "machine intelligence platform" Zeroth. This SDK will make it easier for companies to run deep learning programs directly on devices like smartphones and drones -- if they're powered by one of Qualcomm's chips, of course."

The benefits of machine learning continue to trickle down to smartphones and gadgets, and chipmaker Qualcomm wants to help speed up the process. The company is launching a new software development kit for its "machine intelligence platform" Zeroth. This SDK will make it easier for companies to run deep learning programs directly on devices like smartphones and drones -- if they're powered by one of Qualcomm's chips, of course. Right now, you're probably using all sorts of deep learning programs you don't know about. Companies like Google and Facebook use this sort of software for things like image and voice recognition, but usually, this process happens in the cloud, with the results beamed to your phone.

The vendor's Neural Processing Engine SDK will run on smartphones and other devices powered by Qualcomm's Snapdragon 820 SoCs.

Qualcomm announced the deep learning software development kit (SDK) for the company's Snapdragon 820 SoC. Qualcomm's deep learning SDK is called the Snapdragon Neural Processing Engine, and it's powered by the company's Zeroth Machine Intelligence Platform, with optimizations designed to take advantage of the heterogeneous compute capabilities of the Snapdragon SoC. Among other things, it may be able to more effectively block malware on mobile devices. Qualcomm said that the Snapdragon Neural Processing Engine SDK will give developers a "powerful, energy efficient platform" that will help them create mobile neural network tools that can be used for scene detection, text recognition, natural language processing and more. The idea is that OEMs can run their own neural network applications locally, on-device, and don't have to communicate with the cloud.

Qualcomm Incorporated (NASDAQ: QCOM) today announced at the Embedded Vision Summit in Santa Clara, Calif. The SDK, called the Qualcomm Snapdragon Neural Processing Engine, is powered by the Qualcomm Zeroth Machine Intelligence Platform and is optimized to utilize Snapdragon's heterogeneous compute capabilities to provide OEMs a powerful, energy efficient platform for delivering intuitive and engaging deep learning-driven experiences on device. This SDK is the latest software addition to Snapdragon 820 and demonstrates Qualcomm Technologies' continued leadership by adding value for our customers to the Snapdragon portfolio. Qualcomm Technologies, with the introduction of the Snapdragon Neural Processing Engine, is the first mobile SOC provider to offer a deep learning toolkit optimized for mobile. This SDK will allow OEMs to run their own neural network models on Snapdragon 820 devices such as smart phones, security cameras, automobiles and drones, all without a connection to the cloud.