SANTA CLARA, Calif., and JERUSALEM, Aug. 8, 2017 -- Intel Corporation (NASDAQ: INTC) and Mobileye N.V. (NYSE: MBLY) today announced the completion of Intel's tender offer for outstanding ordinary shares of Mobileye, a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver assistance systems and autonomous driving. The acquisition is expected to accelerate innovation for the automotive industry and positions Intel as a leading technology provider in the fast-growing market for highly and fully autonomous vehicles. The combination of Intel and Mobileye will allow Mobileye's leading computer vision expertise (the "eyes") to complement Intel's high-performance computing and connectivity expertise (the "brains") to create automated driving solutions from cloud to car. Intel estimates the vehicle systems, data and services market opportunity to be up to $70 billion by 2030. "With Mobileye, Intel emerges as a leader in creating the technology foundation that the automotive industry needs for an autonomous future," said Intel CEO Brian Krzanich.

It was only over the last 10 days that there were serious murmurs about Vishal Sikka -- Infosys's rockstar CEO, as described by a company founder -- hanging up his boots. But none who know N R Narayana Murthy expected an outcome any different than this. "Mr Murthy quoting independent directors as having said Sikka'is not CEO material but CTO material' suggests loss of confidence. It seems he bought into their assessment. Hitherto, there was comfort within the company's leadership team that Mr Murthy's battle was essentially with the current board," said a senior Infosys executive of two decades.

Training deep networks is expensive and time-consuming with the training period increasing with data size and growth in model parameters. In this paper, we provide a framework for distributed training of deep networks over a cluster of CPUs in Apache Spark. The framework implements both Data Parallelism and Model Parallelism making it suitable to use for deep networks which require huge training data and model parameters which are too big to fit into the memory of a single machine. It can be scaled easily over a cluster of cheap commodity hardware to attain significant speedup and obtain better results making it quite economical as compared to farm of GPUs and supercomputers. We have proposed a new algorithm for training of deep networks for the case when the network is partitioned across the machines (Model Parallelism) along with detailed cost analysis and proof of convergence of the same. We have developed implementations for Fully-Connected Feedforward Networks, Convolutional Neural Networks, Recurrent Neural Networks and Long Short-Term Memory architectures. We present the results of extensive simulations demonstrating the speedup and accuracy obtained by our framework for different sizes of the data and model parameters with variation in the number of worker cores/partitions; thereby showing that our proposed framework can achieve significant speedup (upto 11X for CNN) and is also quite scalable.

Software firm NuTonomy, which works with several car companies including Renault SA, had said it planned to launch commercial service next year, without being more specific on timing. Iagnemma in an interview said he hoped paid self-driving rides would start in the second quarter, although it could be the third or fourth.

Elon Musk recently commented on Twitter (twtr) that artificial intelligence (AI) is more dangerous than North Korea. It's not the first time that the entrepreneur has warned about the dangers of AI. Should we all be afraid as he is? Will AI lead to a huge disaster or robot takeover that destroys humanity? Let's be clear: A nuclear conflict between North Korea and the U.S. would cause millions to die.

In her final months, she finds solace in an artificially intelligent holographic recreation of her late husband Walter, called "Walter Prime." They talk every day, recounting special moments of their life together. But her memory isn't perfect, and Walter Prime can only rely on retellings to piece together what happened. He also talks to other people, including Marjorie's daughter Tess and son-in-law Jon, who move in to take care of her. From all his exchanges, Walter Prime gathers various information on how to play his part, and pieces together a history shared between all the characters that he refers to in his conversations.

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project? Or perhaps you want to save time and learn how to automate some of the most common GIS tasks? I'm very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks. My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate.

KPMG recently conducted its annual survey of 800 global technology industry leaders, from startups to Fortune 500. The results are the top 3 emerging technology trends that are expected to disrupt business significantly in the next three years. Some 41 percent of respondents identified these three below. Take a closer look at and follow any new developments there, as your business will be disrupted by these technologies sooner than you think. This is the leading trend, with 20 percent of respondents identifying it as driving business transformation.

In this April 30, 2015, file photo, Tesla Motors CEO Elon Musk unveils the company's newest products, in Hawthorne, Calif. In this April 30, 2015, file photo, Tesla Motors CEO Elon Musk unveils the company's newest products, in Hawthorne, Calif. One of Tesla CEO Elon Musk's companies, the nonprofit start-up OpenAI, manufactures a device that last week was victorious in defeating some of the world's top gamers in an international video game (e-sport) tournament with a multi-million-dollar pot of prize money. We're getting very good, it seems, at making machines that can outplay us at our favorite pastimes. Machines dominate Go, Jeopardy, Chess and -- as of now -- at least some video games.

Doctor Otto Octavius may have been a power-mad scientist bent on world domination and the utter ruin of his nemesis, Spider-Man, but the guy had some surprisingly cogent thoughts on prosthetics development. And although mind-controlled supernumerary robotic limbs like Doc Oc's still only exist in the realm of the Marvel Universe, researchers here in reality are getting pretty darn close to creating their own. And in the near future, we'll be strapping on extra appendages whenever we need a helping hand -- or supplemental third thumb. Supernumerary Robotic Limbs (SRLs) are not prosthetics. They are designed to supplement a person's existing full complement of limbs as opposed to replacing the lost functionality of a missing one.