1. Articles from tomshardware.com

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    1. Microsoft Taught AI How To Beat 'Ms. Pacman'

      14 Comments Ms. Pacman doesn't seem like a hard game. All you have to do is guide its titular character through mazes to gobble up pellets and avoid a group of ghosts. Underneath that veneer of simplicity, however, is a complicated game that's surprisingly well-suited to helping AI learn how to think like humans do. Or at least that's what Microsoft said today when it announced that it made an AI capable of getting the game's highest possible score. AI is no stranger to playing games.

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      Mentions: Microsoft Google
    2. Intel, Surprising No One, Joins Partnership On AI

      - Source: Intel You know how sitcom characters often pair up, keep their relationship secret, then reveal its existence to a close friend who immediately says everyone knew all along? Well, that's kind of how we felt when Intel announced that it joined Partnership on AI, an organization devoted to exploring how artificial intelligence can "benefit people and society." Anyone who didn't expect Intel to join a group like this simply hasn't been paying attention.

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    3. Wave Computing Announces Early Access Program For Its Super-Fast Machine Learning Appliance

      by Lucian Armasu 05 PM Wave Computing , a startup trying to tackle a growing and increasingly more interesting market for specialized machine learning chips , announced an Early Access Program for its new compute appliance . The company said that the appliance can speed up the training of neural networks by up to 1,000x (presumably compared to CPUs).

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      Mentions: Microsoft CPU GPU
    4. Baidu Upgrades Cloud Services With Nvidia Tesla P40 GPUs And Deep Learning Platform

      Nvidia announced that Baidu, the biggest search engine in China, now uses the company’s deep learning software platform as well as the latest Pascal-based Tesla P40 GPUs for both training and inference. Baidu Modernizes Cloud Platform Baidu, like other companies interested in machine learning, has been using Nvidia’s GPUs for many years. However, the company seems to be looking to get the latest Pascal-based GPUs to take advantage of their increased performance and efficiency.

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    5. Tencent Cloud Taps Nvidia Tesla GPU Accelerators For AI

      Tencent Cloud Taps Nvidia Tesla GPU Accelerators For AI

      by Nathaniel Mott March 24, 2017 at 6:00 AM Nvidia announced that its Tesla P100, P40, and M40 GPU accelerators will soon be used by Tencent Cloud to offer a variety of AI-powered services. The announcement comes as tech companies small and large turn to AI for increasingly "smart" products and services. Building the AI behind those offerings is no easy feat--that's why Nvidia has introduced hardware and software that makes it easier for companies to use AI however they see fit.

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      Mentions: IBM GPU
    6. Study: Thousands Of Android Apps Lack Privacy Policies

      Study: Thousands Of Android Apps Lack Privacy Policies

      - Source: Carnegie Mellon University Carnegie Mellon University revealed that thousands of popular apps in Google's Play Store don't have privacy policies, and many of the ones that do aren't upfront about how they collect and share the personal information of their users. This violates state laws and the Play Store's own guidelines . The researchers said they examined 18,000 free apps in the Play Store. Of those, roughly 9,000 didn't have any kind of privacy policy.

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    7. Google Begins Using High-Accuracy Neural Machine Translation System For Eight Language Pairs

      Google Begins Using High-Accuracy Neural Machine Translation System For Eight Language Pairs

      - Source: Google Blog Recently, Google announced that it achieved near-human accuracy for translating to and from English, Spanish, and Chinese. The company is using a new neural network training technique, which it calls the Neural Machine Translation (NMT) system. Google announced today that it has started using its new system for nine languages (eight pairs) and that it will soon use it for all of Google Translate’s 103 supported languages.

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    8. Microsoft’s Speech Recognition Tech Achieves Human Parity--Sort Of

      Microsoft’s Speech Recognition Tech Achieves Human Parity--Sort Of

      - Source: Microsoft Blogs Microsoft researchers from the Speech & Dialog research group include, from back left, Wayne Xiong, Geoffrey Zweig, Xuedong Huang, Dong Yu, Frank Seide, Mike Seltzer, Jasha Droppo and Andreas Stolcke. (Photo by Dan DeLong) Microsoft announced that its speech recognition technology has achieved a word error rate (WER) of only 5.9%, which the company said was similar to what human transcribers are able to achieve.

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    9. Google Translate Boasts Near-Human Accuracy Levels With New Neural Network-Powered System

      Google Translate Boasts Near-Human Accuracy Levels With New Neural Network-Powered System

      Google Translate turned 10 years old this year, and today the company announced the Google Neural Machine Translation system (GNMT), which utilizes “state-of-the-art” neural network training techniques to break the record for machine translation quality. Phrase-Based Machine Translation (PBMT) Ten years ago, Google started by using “Phrase Based Machine Translation” (PBMT) as the key algorithm that the company used for state-of-the-art (at the time) machine translation.

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    1-14 of 14
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