CEO: Yoshihito Yamada) announced that it will release two variations of the Mobile Robot LD Platform, developed for indoor use by its U.S. subsidiary Omron Adept Technologies (hereafter: OAT), simultaneously in 33 countries on January 20, 2017 as a step towards realizing harmony between humans and machines in the field of manufacturing. The Mobile Robot LD is a carrier robot equipped with OAT's proprietary artificial intelligence (AI) technology, which allows it to transport materials to a target location while calculating the optimal route and avoiding humans and obstacles. The robots are ideally suited for a wide range of indoor environments, including facilities manufacturing car parts, electronics, foods and pharmaceuticals, as well as warehouses and research facilities. The January release will include two variations; a customizable OEM type and an all-in-one cart transporter type with an attached cart. The OEM type allows the user to optimize the robot for the intended usage environment by attaching a custom cabinet or conveyor.

For the first Green Umbrella program of the season, Saturday night at Walt Disney Concert Hall, John Adams conducted the Los Angeles Philharmonic New Music Group in five premieres -- four of them commissioned by the orchestra, including one by 17-year-old clarinetist Andrew Moses and another by Ingram Marshall, 74 and in too poor of health to have attended, whose "Flow" is special enough that it deserves to bring lasting glory to the orchestra. But because I didn't want Marshall's piece to get lost in a big evening, I've buried the lead: The New Music Group was followed by a late-night appearance of wild Up, with Christopher Rountree conducting his increasingly impressive young ensemble in three more premieres. One was his own dazzling violin concert featuring Jennifer Koh as soloist, yet another L.A. Phil commission. Exiting the Grand Avenue staircase close to midnight, we were given bells for audience participation in still another L.A. Phil-commissioned world premiere, this by the collective Lucky Dragons. Even with all that, I've buried the lead, again.

In principle, reinforcement learning and policy search methods can enable robots to learn highly complex and general skills that may allow them to function amid the complexity and diversity of the real world. However, training a policy that generalizes well across a wide range of real-world conditions requires far greater quantity and diversity of experience than is practical to collect with a single robot. Fortunately, it is possible for multiple robots to share their experience with one another, and thereby, learn a policy collectively. In this work, we explore distributed and asynchronous policy learning as a means to achieve generalization and improved training times on challenging, real-world manipulation tasks. We propose a distributed and asynchronous version of Guided Policy Search and use it to demonstrate collective policy learning on a vision-based door opening task using four robots. We show that it achieves better generalization, utilization, and training times than the single robot alternative.

This article was published in partnership with The Marshall Project, a nonprofit news organization covering the US criminal justice system. Sign up for their newsletter, or follow The Marshall Project on Facebook, or Twitter. If African-American motorists--or drivers of any color--deplore being pulled over for a broken taillight only to be socked with more serious charges, they can take heart that the practice should disappear within the next 20 years. Not that racial harmony will be achieved or that a new polymer will make taillights indestructible. Rather, it's that human beings won't be doing the driving.

It can feel a bit tingly when Bioness touches your hand. For she will send electrical pulses to your forearms. Bioness does that for a reason - it is a rehabilitation robot that helps post-stroke patients strengthen the use of their hands, such as to grasp and release a slice of bread, speeding up their recovery. With the robotic automation, we see 20 per cent more improvement in the upper limb functions of patients than those who undergo conventional treatment. We can also serve 20 per cent more patients.

Israeli startup Revuze, which provides Artificial Intelligence (AI) to both brand and product management, has closed a 4 million seed-funding round led by strategic investors Nielsen, The NPD Group, and TIC Group. Revuze is also entering into business development partnerships to introduce its transformative AI-led technology to its investors' customers. Headquartered in Netanya, Revuze will use this investment, to expand US operations and open offices in San Francisco and New York City. Revuze uses AI, powered by neural networks and machine learning, to empower the brand and product management industries that previously have relied on manually intensive solutions, such as text analytics, social listening and monitoring. These current solutions, requiring months to execute, demand teams of product experts, data scientists and analysts to construct and maintain rules, dictionaries and taxonomies before interpreting the findings.

Mumbai: Typing a query in an online search box is straightforward for users. It's not so for search engines that have to crawl trillions of pages, track links on them, sort them by content, then index the pages and also have their algorithms understand what the queries mean before dishing out the answers--all in less than a second. More so, for a company like Google, which processes billions of searches daily--making search "core" to the company's mission of organizing "the world's information" and making it "universally accessible and useful". When Google was founded in September 1998, it was serving around 10,000 search queries per day. The company now processes more than 40,000 every second on average, which translates to over 3.5 billion searches per day and 1.2 trillion per year worldwide, according to internetstatslive.com.

Increased investor interest in AI startups – from around 10 deals in Q1'11 to over 120 in Q2'16 – can be attributed to recent advances in machine learning algorithms, particularly "deep learning" technology, a souped up version of AI. Just this week, Google integrated deep learning into its Google Translate tool; Baidu announced the launch of DeepBench, an "open source benchmarking tool for evaluating deep learning performance across different hardware platforms"; and NVIDIA introduced Xavier, a deep learning-based supercomputer for driverless cars. In the private market, Google put deep learning in the spotlight back in 2014 when it acquired 4 startups focused on this AI tech in quick succession: DeepMind, Vision Factory, Dark Blue Labs, and DNNresearch. Apple, which joined the race in 2015, most recently acquired Turi, which has developed a deep learning toolkit, among other AI-based solutions. Not to be outdone, Intel has acquired more than 5 AI startups this year alone, including deep learning startup Nervana Systems and, more recently, Movidius.

Here are the stories of 2016 about the future of medicine and healthcare you liked the most so far. At Vanderbilt University, scientists are building an artificial kidney that they envision will one day will be a standard of care over dialysis. The end result is expected to be a microchip about the size of a natural kidney, small enough to be implantable and powered by the body's own blood flow. A Dutch clinic had their first paralyzed patient walk home in an exoskeleton. The heart-warming event followed an 8 weeks-long training program designed by the clinic, during which the patient has trained with the ReWalk 6.0 exoskeleton to regain their movement. A groundbreaking new therapy in which white blood cells were reprogrammed to attack cancer cells is showing great promise after more than 90 percent of terminally ill leukemia patients had their symptoms disappear completely.

Wouldn't it be fun to play a rousing game of hide-and-seek with the droid you're looking for? Don't you think you'd sleep better at night knowing R2-D2's got your back? Well, this advanced bot not only resembles the famous droid, with its pill-like shape, it's smart like him too. BIG-i is a personal home assistant that takes care of you and your family. The bot encourages you to don a light jacket if it's chilly outside, entertains you with an enthralling tale, and more. The robot's eyeball, which swivels in any direction, reminds me of Hal, the maniacal computer from 2001: A Space Odyssey.