How artificial intelligence is transforming the legal profession The future of the legal profession began 20 years ago. The technology boom was just beginning with the emergence of email and personal computers. Jay Leib was working for Record Technologies Inc. as director of software sales and training in 1999, and the company was scanning documents into databases for clients. At one point the company printed and scanned legal documents related to a lawsuit with Microsoft. Leib thought that was inefficient, a waste of time and paper. So he and his business partner, Dan Roth, decided to create a program that would help lawyers manage electronic documents for litigation. Their idea led them to purchase an e-discovery application. By 2000, Leib and his partner launched their own creation, Discovery Cracker. "We saw a gap in the marketplace," Leib says. Lawyers need tools to keep up with it." Instead of wading through piles of paper, lawyers now deal with terabytes of data and hundreds of ...

Google's artificial intelligence can play the ancient game of Go better than any human. It can identify faces, recognize spoken words, and pull answers to your questions from the web. But the promise is that this same kind of technology will soon handle far more serious work than playing games and feeding smartphone apps. One day, it could help care for the human body. Demonstrating this promise, Google researchers have worked with doctors to develop an AI that can automatically identify diabetic retinopathy, a leading cause blindness among adults. Using deep learning--the same breed of AI that identifies faces, animals, and objects in pictures uploaded to Google's online services--the system detects the condition by examining retinal photos.

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A 2013 study by Oxford University researchers Carl Benedikt Frey and Michael A. Osborne has estimated that 47% of jobs in the US could be replaced by machines in the next 20 years. Many people feel uneasy about the idea of robots or machines taking over jobs that are currently occupied by humans but the development of artificial intelligence (AI) is accelerating at a rapid rate. Consequently, so is the automation of the workforce. As of yet, nobody knows what the result will be, however, it is certain that the move towards automation will create a lot of disruption. Daniel Susskind, lecturer at Oxford University and author of The Future of Professions, recently told Quartz "it's hard to escape the conclusion that there will be less for people to do."

Xiaoice is an artificial intelligence software. She has a'cute' voice, can instantly comment on weather data and big news events, and she has a job on morning TV. The Chinese live program, 'Morning News,' introduced the AI last year (pictured) The'death ray' that can knock out drones from more than a... Meet your housemates: Incredible images show the PARASITES... Is there an ancient civilisation on Mars? UFO hunters claim... Could we soon REGROW our limbs? Worm DNA may unlock the...

Drones are flying bundles of sensors and radio waves, sometimes put to nefarious purpose. In Iraq, the insurgent group ISIS put this combination to deadly effect, killing enemies and assembling a small aerial arsenal. Small, deadly drones used to kill are relatively new to battlefields, so companies are making new weapons to take drones down. The latest, from DroneShield, is the plainly-named "Dronegun." The company claims the weapon has a range of over a mile, and promises to immediately cease video transmission back to the drone operator.

The combined domestic output of eight major Japanese automakers fell 3.2 percent in October from a year earlier to 743,086 vehicles for the first decline in three months, according to data from major automakers. Six of the eight carmakers reported declines, with Mitsubishi Motors Corp.'s domestic output tumbling 23.4 percent to 44,279 vehicles due to a temporary halt of minicar production in the wake of a fuel economy data manipulation scandal that erupted in April. Toyota Motor Corp. said Tuesday its domestic output fell 6.1 percent in October to 260,426 vehicles, the first decline in three months, reflecting slower growth in exports to the Middle East and North America. Domestic production at Suzuki Motor Corp. dived 13.3 percent from the year before to 62,206 vehicles due to sluggish sales of its minicars -- or vehicles with engines no larger than 660 cc -- since a tax hike on that vehicle category. Nissan Motor Co.'s output at home jumped 36.6 percent to 95,490 vehicles thanks mainly to strong sales of its new Serena minivan, which is equipped with self-driving vehicle technology.

The'DroneGun' blocks drones from flying and can also jam their GPS Gun is designed to stop drones carrying explosives or other weapons It weighs only 13lbs (6kg) and can be operated by just one person It disables drones in a safe and controlled manner, away from target zones The'DroneGun' blocks drones from flying and can also jam their GPS The DroneGun is a signal-jamming rifle capable of taking out an Unmanned Aerial Vehicle (UAV) from 1.2 miles (2km) away'I spy, with my little drone...': This is the world's... China unveils its answer to Amazon's Echo: The $118 LingLong... The AI that gives you a voice: Lip-reading machine... Why Mars astronauts risk going BLIND: Scientists finally... 'I spy, with my little drone...': This is the world's... China unveils its answer to Amazon's Echo: The $118 LingLong... The AI that gives you a voice: Lip-reading machine... Why Mars astronauts risk going BLIND: Scientists finally...

In one corner of John Knoll's office at Lucasfilm stand three racks of imposing black computer servers. The sleek 6-foot-tall towers, complete with mechanical switches and fans, flash blue LEDs. Each bears the insignia of the Galactic Empire from Star Wars and a name--Death Star 748, Death Star 749. As impressive and menacing as the machines appear, they aren't real. They're just faceplates wired with Arduino controllers to make the lights blink and flutter like actual computers. They are, in other words, visual effects--and a look into the mind of Knoll, the 54-year-old chief creative officer of Industrial Light & Magic, Lucasfilm's famed VFX arm. They're what made the movies. They come from the machines that spent roughly 13,000 hours rendering digital effects for the three Star Wars prequels, on which Knoll was a lead effects supervisor. The march of Moore's law turned the server farm that created those movies into scrap. "It took a few weeks," Knoll says, shrugging.

This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies such as Hadoop, Scalding and Spark. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Fulfilling the need for both introductory material for undergraduate students of computer science and detailed discussions for software engineering professionals, this book will aid a broad audience to understand the esoteric aspects of practical high performance computing through its use of solved problems, research case studies and working source code. Srinivasa is Professor and Head of the Department of Computer Science and Engineering at M.S. Ramaiah Institute of Technology (MSRIT), Bangalore, India. His other publications include the Springer title Soft Computing for Data Mining Applications.