CVPR 2016 -- CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today introduced CDNN2 (CEVA Deep Neural Network), its second generation neural network software framework for machine learning. CDNN2 enables localized, deep learning-based video analytics on camera devices in real time. This significantly reduces data bandwidth and storage compared to running such analytics in the cloud, while lowering latency and increasing privacy. Coupled with the CEVA-XM4 intelligent vision processor, CDNN2 offers significant time-to-market and power advantages for implementing machine learning in embedded systems for smartphones, advanced driver assistance systems (ADAS), surveillance equipment, drones, robots and other camera-enabled smart devices. CDNN2 builds on the successful foundations of CEVA's first generation neural network software framework (CDNN), which is already in design with multiple customers and partners.

Deep learning is the new big trend in machine learning. It had many recent successes in computer vision, automatic speech recognition and natural language processing. The goal of this blog post is to give you a hands-on introduction to deep learning. To do this, we will build a Cat/Dog image classifier using a deep learning algorithm called convolutional neural network (CNN) and a Kaggle dataset. This post is divided into 2 main parts. The first part covers some core concepts behind deep learning, while the second part is structured in a hands-on tutorial format. In the first part of the hands-on tutorial (section 4), we will build a Cat/Dog image classifier using a convolutional neural network from scratch.

Some of the behemoths giving a tough race to Google are Amazon, Apple Inc., Facebook, and Microsoft. A common platform on which they're all competing is a digital assistant to help with daily needs. Some of their AI-powered virtual assistants are Facebook's M, Apple's Siri, Microsoft's Cortana, Amazon's Echo and Allo's Google Assistant. While Amazon's Echo is a device solely serving as a virtual assistant, both Facebook's M and Allo's Google Assistant start at a disadvantage with the user first needing to install the app to exercise the luxuries of a digital assistant. One of the unique features of Allo is the Smart Reply built in, giving users the option of searching for restaurants, movie tickets, and information regarding flight delay without moving out of the chat.

Jeff Bezos (R), founder and Chief Executive of Amazon.com and owner of The Washington Post, participates in a conversation with Martin Baron (L), executive editor of The Washington Post, during the event'Transformers: Pushing the Boundaries of Knowledge,' May 18, 2016 in Washington, DC. (Photo: Alex Wong/Getty Images) Artificial intelligence (AI) is perhaps one of the most debated and most controversial technologies today. In fact, experts have opposing opinions when it comes to the remarkable advancement and progress of AI technologies. Over the past decade, people have witnessed how the media depicted the rise of artificial intelligence in numerous science-fiction films. But according to AI experts and researchers, the disturbing possibility of artificial intelligence going out of control or turning evil is a thing of the past, citing the fact that AI is only capable of performing very specific tasks. Despite several explanations and discussions regarding artificial intelligence's potential to outwit humans by automating cognitive tasks, the rapid development and evolution of AI have led to concerns over safety and widespread unemployment.

In the future, a new generation of autonomous robots is set to complete tasks autonomously, even if something unforeseeable happens. With the support of the Austrian Science Fund FWF, information technology experts in Graz are working to advance the development of artificial intelligence and equip robots with common sense. Something that children learn through play and that adults are able to do on the basis of past experience, such as responding to unexpected situations, remains one of the great challenges in robotics. Autonomous systems are expected to complete tasks given to them without external input. The deployment of such intelligent robots would be particularly important in critical situations – such as environmental disasters or industrial accidents.

One of the biggest risks of Artificial Intelligence is that no-one really understands how it works. By that I mean that when a complex algorithm works something out, it is extremely difficult to reverse engineer the process that was followed to get to that decision (a bit like recreating an egg from an omelette). This opaqueness of the inner workings of the algorithms is a worry to people who rely on the types of decisions it is making, such as credit approvals, medical diagnoses and financial trading. This allows it to test for discrimination, either in the underlying models used or in the way the AI has been trained - any adaptive system will inherently reflect the biases of the information (and people) used to train it. So, if a system to filter job applications is built, it could easily do that role with, say, gender bias if the training data and any subsequent reinforcement included that bias.

In the future, a new generation of autonomous robots is set to complete tasks autonomously, even if something unforeseeable happens. With the support of the Austrian Science Fund FWF, information technology experts in Graz are working to advance the development of artificial intelligence and equip robots with common sense. Something that children learn through play and that adults are able to do on the basis of past experience, such as responding to unexpected situations, remains one of the great challenges in robotics. Autonomous systems are expected to complete tasks given to them without external input. The deployment of such intelligent robots would be particularly important in critical situations – such as environmental disasters or industrial accidents.

Artificial Intelligence has touched each and every sector. We all know about Facebook suggesting friends or Siri managing our calendars. Even the stocks are traded by computers. There are cars which can park on their own. From education to military to even manufacturing there is hardly a field where artificial intelligence does not pay a role.

Artificial intelligence will take over the world! Or so we're told by the movies. We're all doomed to become "house cats" if the machines so desire! Or so prominent experts like Elon Musk have warned. Humbug, say Jeff Hawkins and Donna Dubinsky.

Journal of Neurology and Neuroscience (ISSN: 2171-6625) is an international circulating peer-reviewed Open Access journal presenting original research contributions and scientific advances in the field of Neurology and Neuroscience. Journal of Neurology & Neuroscience aims to promote research communications and provide a forum for doctors, researchers, physicians and healthcare professionals to find most recent advances in all areas of Neurology & Neurological Sciences. Neurology & Neurosciences strongly supports the scientific up gradation and fortification in related scientific research community by enhancing access to peer reviewed scientific literary works. Neurology is a specialized area of medicine that concerns disorders and diseases of the nervous system. Neurology involves diagnosing and treating conditions of the central, peripheral and autonomic nervous systems.