Google, ubiquitous in internet search but trailing in consumer hardware, is expected Tuesday to reveal details of its latest efforts to infuse smarts into more of its product offerings. The Alphabet Inc. GOOGL 0.22 % unit aims to integrate its work in artificial intelligence, which allows software to make inferences and decisions, to make products more useful with voice commands that may represent the next step in search. The Mountain View, Calif., company foreshadowed its strategy in May when it announced a device called Home to rival the Echo speaker, Amazon.com Inc. AMZN -0.43 % 's surprise hit that allows users to ask a virtual assistant named Alexa questions and to perform tasks. Home, a voice-controlled speaker, will be powered by what the company calls Google assistant.

If you have been following Data Science / Machine Learning, you just can't miss the buzz around Deep Learning and Neural Networks. Organizations are looking for people with Deep Learning skills wherever they can. From running competitions to open sourcing projects and paying big bonuses, people are trying every possible thing to tap into this limited pool of talent. Self driving engineers are being hunted by the big guns in automobile industry, as the industry stands on the brink of biggest disruption it faced in last few decades! If you are excited by the prospects deep learning has to offer, but have not started your journey yet – I am here to enable it.

IBM said today that it will invest 200 million in a new global headquarters for its Watson Internet of Things business in Munich Germany. The move is part of the strategy of combining Watson -- the supercomputer that beat the world's best human Jeopardy player -- with the Internet of Things (IoT), or using sensors to make everyday objects smart and connected. It's also part of a global plan to invest 3 billion to bring Watson's cognitive computing to IoT. The investment in Munich is one of the company's largest ever in Europe and is in response to growing demand from customers who want to transform their operations with A.I. and IoT. IBM said it has 6,000 global clients using its Watson IoT solutions and services, up from 4,000 eight months ago.

Is your firm prepared to welcome in an era of legal practice using artificial intelligence (AI)? Where is this technology headed and why must law firm leaders fully understand how cognitive computing works in order to benefit from it? With the vast amounts of structured and unstructured data firms have to deal with, there is increasing pressure from nimble technologies and clients to attract AI and cognitive technologies. Understanding the market implications of digital business information and trends is now key to attaining the best possible performance, revenue gains and cost savings. Berwin Leighton Paisner was one of the first firms to embrace AI in the UK, developing its'contract robot' which promised to complete work in seconds that would have otherwise taken a team of paralegals months to do.

Want to build a drone at home? Intel is shipping its Aero Compute Board so you can get your unmanned aerial vehicle in the sky. The Aero Compute Board is priced at a hefty 399 and available on Intel's website. It's a complete drone board system in one unit, but you have to buy certain hardware, like rotor blades, separately. Intel has also started selling its new Robotics Development Kit for 249. The board is meant to be the guts of a robot, providing direction, navigation, decision-making and other capabilities.

After some months reading about deep learning research paper, i feel that there are not many original works like in (bayesian learning, kernel learning). I mean there are many papers just improve something, or combine algorithms, appear a lot even if at Top-venues. What do your think about that? Sorry if i made something wrong.

Latest iteration of Amazon's GPU-powered VMs for machine learning make a big speed leap, but they still use previous-generation Nvidia Kepler GPUs Amazon Web Services has unveiled a new generation of GPU-powered cloud computing instances aimed squarely at customers running machine learning applications. The P2's a major step up from the previous generation of GPU-powered AWS instances, and it has plenty of memory to burn. But it is built with an earlier generation of GPU, so it is less suited for the bleeding-edge machine learning work that needs the most recent advances in GPU technology. Amazon is currently billing the G2 as suitable for "graphics-intensive applications," rather than machine learning specifically. The P2, on the other hand, is definitely for machine learning.

Bengaluru-based multi-speciality hospital chain Narayana Hrudyalaya (NH), which announced its IPO at the start of 2016, has 54 facilities all across India. At its different hospitals, Narayana carries out 650 to 700 cardiac surgeries each month. Speaking at the sidelines of a conference organised by Microsoft India last month, Kumar KV, Vice President at NH chatted with Gadgets 360 about how technology was changing the field of medicine, with immediate developments in fields such as 3D printing, along with long term projects such as the use of deep learning to improve the predictive capabilities of hospitals. At the same conference, Sriram Rajamani, Managing Director at Microsoft Research, India, explained that we are now beyond the point of just talking about machine learning, as gradual improvements in algorithms, and gradual increases in computing power, along with distributed and data processing via the cloud are making it possible for machines to have a quantifiable impact in the field of medicine. For example, Microsoft Research is currently running a project called 99Dots to improve medication adherence for tuberculosis patients.

IMAGE: Sandia National Laboratories researchers are drawing inspiration from neurons in the brain, such as these green fluorescent protein-labeled neurons in a mouse neocortex, with the aim of developing neuro-inspired computing... view more ALBUQUERQUE, N.M. - Computation is stuck in a rut. The integrated circuits that powered the past 50 years of technological revolution are reaching their physical limits. This predicament has computer scientists scrambling for new ideas: new devices built using novel physics, new ways of organizing units within computers and even algorithms that use new or existing systems more efficiently. To help coordinate new ideas, Sandia National Laboratories has assisted organizing the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Rebooting Computing held Oct. 17-19. "We're taking a stab at the scope of what neural algorithms can do. We're not trying to be exhaustive, but rather we're trying to highlight the kind of application over which algorithms may be impactful," said Brad Aimone, a computational neuroscientist and co-author of one paper.

What do artificial intelligence, machine learning, and other innovations have in store for the future of marketing? That was a key question addressed by a panel that included the chief marketing officers from Lyft, IBM Watson, and CVS Health. They gathered last week in New York at 1 World Trade Center to discuss changes consumers may see thanks to brands embracing AI, augmented reality, and tracking. Marketing is making more and more use of these emerging technologies--to better anticipate what customers want. But the rise of this trend raises questions about transparency and maintaining control of personal information.