The Finance Ministry on Wednesday issued a set of proposals on the reform of local finances, including a call for cuts to the number of local government employees in line with the country's shrinking population. According to the package, local governments should streamline clerical duties by using artificial intelligence and taking other measures in order to maintain their administrative services as they reduce the number of workers. The proposals were presented to the day's meeting of a subcommittee of the Fiscal System Council, which advises the minister of finance. The council plans to reflect the proposals in its policy recommendations, set to be compiled shortly. In the package, the Finance Ministry said that it will become difficult for local governments to hire employees at the current pace, due to manpower shortages in both the public and private sectors as the population shrinks.

Visual Investigations Latest Video 10:43 How U.S. Weapons Ended Up Hitting Hospitals in Yemen Visual Investigations Latest Video 5:44 The U.S. Blamed Maduro for Burning Aid to Venezuela. Visual Investigations Latest Video 8:57 How an Elite Nigerian Unit Killed Dozens of Protesters Visual Investigations Latest Video 6:52 A Black Driver, a Marijuana Bust and a Body Camera That Turned Off Visual Investigations Latest Video 8:32 Killing Khashoggi: How a Brutal Saudi Hit Job Unfolded Visual Investigations Latest Video 1:31 The Bomb Suspect's Van Is Covered With Stickers. Visual Investigations Latest Video 7:07 How a Gang Hunted and Killed a 15-Year-Old in the Bronx Visual Investigations Latest Video 1:48 How a C.I.A. Drone Base Grew in the Desert Visual Investigations Latest Video 1:49 How Surveillance Cameras Tracked Two Russian Hit Men Visual Investigations Latest Video 3:04 How the Drone Attack on Maduro Unfolded in Venezuela Visual Investigations Latest Video 5:44 The U.S. Blamed Maduro for Burning Aid to Venezuela. The U.S. Blamed Maduro for Burning Aid to Venezuela. Visual Investigations Latest Video 1:31 The Bomb Suspect's Van Is Covered With Stickers.

We are in the midst of a deep learning revolution. Unprecedented success is being achieved in designing deep neural network models for building computer vision and Natural Language Processing (NLP) applications. State-of-the-art benchmarks are disrupted and updated on a regular basis in tasks like object detection, language translation, and sentiment analysis. It's a great time to work with deep learning! The application of deep learning in Information Security (InfoSec) is still very much in its nascent stages.

Wave Computing, the Silicon Valley company accelerating artificial intelligence (AI) from the datacenter to the edge, announced its new TritonAI 64 platform, which integrates a triad of powerful technologies into a single, future-proof intellectual property (IP) licensable solution. Wave's TritonAI 64 platform delivers 8-to-32-bit integer-based support for high-performance AI inferencing at the edge now, with bfloat16 and 32-bit floating point-based support for edge training in the future. Wave's TritonAI 64 platform is an industry-first solution, enabling customers the ability to address a broad range of AI use cases with a single platform. The platform delivers efficient edge inferencing and training performance to support today's AI algorithms, while providing customers with flexibility to future-proof their investment for emerging AI algorithms. Features of the TritonAI 64 platform include a leading-edge MIPS 64-bit SIMD engine that is integrated with Wave's unique approach to dataflow and tensor-based configurable technology.

Microsoft Research Asia (MSRA) has achieved eight top places in the recent machine translation challenge organized by the 2019 fourth Conference on Machine Translation (WMT19), out of the eleven tasks it undertook. Overall, there are nineteen machine translation categories in WMT this year. MSRA achieved first place in machine translation tasks for Chinese-English, English-Finnish, English-German, English-Lithuanian, French-German, German-English, German-French and Russian-English. Three other tasks were placed second in their respective categories, which included English-Kazakh, Finnish-English and Lithuanian-English. As one of the leading machine translation competition globally, WMT is a platform for leading researchers to demonstrate their solutions, as well as to understand the continuous evolvement of machine translation technology. Now in its 14th year, more than 50 teams globally from technology companies, leading academic institutions and universities participated in a bid to demonstrate their machine translation capabilities.

FREMONT, CA: Customers are now at the center of smart businesses when it comes to public brand understanding. Tables have turned these days as consumers have a powerful voice--all thanks to the internet. According to surveys, 66 percent of consumers expect a response to their query about a product or a service on the same day and over 40 percent expect a reply within an hour. End-users expect information to be at companies' fingertips--from stock information to delivery dates and customer records. Customers these days do not anticipate breaking the habit of continuous upgradation.

As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Mountain View, California. We are pleased to offer a 6 Month Internship starting in or about January 2017 at BMW of North America, LLC. BMW Technology Office USA in Mountain View, California is offering an engaging internship.

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Shareholders seeking to halt Amazon's sale of its facial recognition technology to US police forces have been defeated in two votes that sought to pressure the company into a rethink. Civil rights campaigners had said it was "perhaps the most dangerous surveillance technology ever developed". But investors rejected the proposals at the company's annual general meeting. That meant less than 50% voted for either of the measures. A breakdown of the results has yet to be disclosed. The first vote had proposed that the company should stop offering its Rekognition system to government agencies.

Artificial intelligence has long been thought of in terms similar to that of fusion power -- it's always 20 years away. Outside, it was a normal morning. Inside, looking out the window and barely noticing the chickadee, the business woman, a manager at a large call center downtown, waited for her morning coffee. It was a short wait. Her coffee maker knew that she woke at 5:30 a.m. It knew that because the alarm clock in the woman's bedroom sensed her movement and saved that information to the woman's Amazon Web Services (AWS) account. The coffee maker, also tied to that AWS account, took the hint and turned itself on. Ten minutes later, the shower came on in the bathroom. This also was noted by the house's systems and that data point was duly recorded by the woman's AWS account. That was the next cue for the coffee maker. It was plumbed directly into the house's water lines, and it opened the valve and filled itself with just the right amount of water to brew the coffee. It was brewing as the woman dressed, and five minutes after the woman appeared, the coffee was delivered to her by her Boston Dynamics personal assistant. She took a sip, just as the chickadee flew away. It was now 6:30 a.m., and time to leave for the office. Just like every other weekday, it would be a peaceful commute. As she left her apartment building and the door closed behind her, her ride was just pulling up to the curb.