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.

Qualcomm has a vested interest in smarter mobile devices: it wants to power even more of them with its own Snapdragon chips. To that end, today sees the launch of the Qualcomm Snapdragon Neural Processing Engine an SDK for the Snapdragon 820 chipset that promises a simpler path to deep-learning software and artificial intelligence on phones, tablets, wearables, and even in cars. It's all powered by Qualcomm Zeroth Machine Intelligence Platform, and while Zeroth may sound like an enemy for the Power Rangers to fight, it's actually a way to leverage formally cloud-trapped processing entirely on a local device. Traditional machine learning - the ability to assess the world and categorize elements within it - generally requires masses of processing grunt and a big database against which to check the potential results. What Zeroth does is condense that down into a single chipset, taking advantage of the various components of Snapdragon like the Hexagon DSP, Adreno graphics, and more.

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.

Qualcomm has talked about putting "silicon brains" in mobile devices and is now providing tools to train smartphones to recognize people, objects, gestures, and even emotions. Phones like Samsung's Galaxy S7 and LG's G5 that use Qualcomm's Snapdragon 820 chips will get deep-learning capabilities with the Snapdragon Neural Processing Engine software development kit, announced on Monday. The SDK will include a run-time that will exploit chip features so smartphones can accomplish deep-learning tasks like tracking objects and recognizing sounds. The kit could also be used in self-driving cars and autonomous drones and robots. Computers can already recognize people in images, as seen on Facebook.

In late 2015, our Chief Customer Officer, Joe Gagnon, and I, met with the IT Director, and the COO of Radisson Blu Edwardian in London. A long-term customer of Aspect's, we were there to share what we have been so diligently working on over the past year: our vision for re-imagining customer service that would combine the best of all forms of consumer interaction types, and the best of what we and the industry have been able to develop in next generation CX technology. In essence, the vision for re-imagining customer service has at its core how to use Interactive Text Response (ITR), or what is also known as "bots" to provide the ability to let customers self-serve on text channels at blazing-fast speeds with a User Interface that resembles that of a natural conversation with a person. Needless to say, it didn't require much convincing that this approach would provide an opportunity to "surprise and delight" in their prestigious hotel chain. With over 2 billion people using texting and messaging solutions extensively today, offering service over these channels just makes sense. Furthermore, it has the promise of saving cost through smart automation while providing a state-of-the-art customer experience, or in the words of the COO: "I want this by Monday."