Microsoft’s BrainWave is going to supercharge AI

Microsoft's #BrainWave is going to supercharge #AI - and it's coming to the cloud.

  • Microsoft is using custom hardware to realize a 50-100x speed up in how quickly it can run AI algorithms that power its Bing search engine — and will make the tech available to all from next year.
  • The acceleration is being powered by the BrainWave platform, a network of customizable chips known as Field-Programmable Gate Arrays (FPGAs), tailored to efficiently handle deep neural networks.
  • “The power of the BrainWave platform are FPGAs, field-programmable gate arrays, which are really executing these AI algorithms in hardware,” said Joseph Sirosh, corporate VP for artificial intelligence research at Microsoft.
  • A large amount of Bing search queries are served through BrainWave, with Sirosh saying the FPGAs are “especially good” for accelerating text-based applications.
  • So as AI evolves so rapidly, as new algorithms come in, it is possible for you to build the custom gate logic required to execute in hardware in that FPGA.

Microsoft’s AI chief talks about the speed up in AI performance being realized by its BrainWave platform.
Continue reading “Microsoft’s BrainWave is going to supercharge AI”

4 challenges Artificial Intelligence must address

4 challenges Artificial Intelligence must address

  • Huge leaps in AI have accelerated this process dramatically and propagated it to other domains previously imagined to remain indefinitely in the monopoly of human intelligence

    From driving trucks to writing news and performing accounting tasks, AI algorithms are threatening middle class jobs like never before.

  • It’s also true that the AI revolution will create plenty of new data science, machine learning, engineering and IT job positions to develop and maintain the systems and software that will be running those AI algorithms.
  • Teaching new tech skills to people who are losing or might lose their jobs to AI in the future can complement the efforts.
  • Machine Learning, the popular branch of AI that is behind face recognition algorithms, product suggestions, advertising engines, and much more, depends on data to train and hone its algorithms.
  • Unless companies developing and using AI technology regulate their information collection and sharing practices and take necessary steps to anonymize and protect user data, they’ll end up causing harm than good to users.


TNW uses cookies to personalize content and ads to
make our site easier for you to use.
We do also share that information with third parties for
advertising & analytics.

Continue reading “4 challenges Artificial Intelligence must address”

Microsoft’s Project Malmo AI platform goes open source

Microsoft's Project Malmo #AI platform goes open source | ZDNet

  • Project Malmo is an artificial intelligence system used to test out AI algorithms using the Minecraft world.
  • Project Malmo consists of a Java mod and code to help AI agents act within the world of Minecraft, and is compatible with Windows, Linux or Mac OS.
  • The web site uses cookies to improve your experience.
  • On Thursday, the Redmond giant revealed the shift of Project Malmo from the hands of a small group of computer scientists in a private preview to GitHub , a code repository for open-source projects.
  • According to Katja Hofmann, a researcher in Microsoft’s Cambridge, UK research lab, Project Malmo can also be used in “reinforcement learning,” in which AI agents learn to complete a task by trial and error — and are rewarded when they make the right choice.

Read the full article, click here.


@RickKing16: “Microsoft’s Project Malmo #AI platform goes open source | ZDNet”


The system, now available to all, uses Minecraft to test artificial intelligence protocols.


Microsoft’s Project Malmo AI platform goes open source

Here Is Google’s List of Fears About Artificial Intelligence

Here Is Google's List of Fears About Artificial Intelligence  #ai

  • Unlike software a robot that’s trying new things may actually cause humans harm.
  • Robots will learn the same way as AI algorithms, through repetition and exploration.
  • For example, the robot should experiment with mopping strategies, but putting a wet mop in an electrical outlet is a very bad idea.
  • Of the five main concerns outlined in the paper, avoiding negative side effects is top of the list.
  • So if your future robot starts tearing down doors because it thinks it’s more efficient, just make sure you put it on the naughty step for 10 minutes to cool down.

Read the full article, click here.


@RickKing16: “Here Is Google’s List of Fears About Artificial Intelligence #ai”


​At least somebody’s preparing for the robopocalypse.​


Here Is Google’s List of Fears About Artificial Intelligence