• MAR 01, 2020

    March '20 Newsletter

    In our latest blog post, we discuss some of the theoretical and practical considerations that deep learning engineers run into as they attempt to scale training beyond a single machine.

  • FEB 14, 2020

    AI in the 2020s Must Get Greener—and Here’s How

    The environmental impact of artificial intelligence (AI) has been a hot topic as of late—and I believe it will be a defining issue for AI this decade.

  • JAN 01, 2020

    January '20 Newsletter

    Determined AI provides an intuitive deep learning training platform, so that you can focus on models, rather than infrastructure. We tightly integrate hyperparameter tuning and distributed training so that you can experiment efficiently and iterate rapidly.

  • NOV 19, 2019

    AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health

    Decades ago, Japan faced an unavoidable, long-term economic challenge. Even as its economy reached record highs in the late 1980s (fueled by strong auto sales, the rise of innovative companies like Nintendo, and real estate speculation), it was preparing for the coming day when more than a quarter of its population would be over age 65.

  • NOV 12, 2019

    Deep in the Trenches: What Are We Reading? (November 2019)

    In the first of a series of posts, we share some thoughts on papers and blog posts that we’re reading right now that have generated some fiery internal discussion at Determined AI.

  • OCT 29, 2019

    The squeeze on AI talent could cripple America’s most important companies

    With the AI revolution solidly underway, tech’s top 5 companies are investing huge amounts of money into AI development and AI engineering talent.

  • AUG 19, 2019

    Specialized AI chips hold both promise and peril for developers

    In the next few years, chipmaking giants and well-funded startups will race to gain market share.

  • AUG 13, 2019

    [Product feature series] One-click access to TensorBoard for model development and experimentation

    Training a massive deep neural network can be daunting. Many deep learning (DL) engineers rely on TensorBoard for visualization so that they can better understand, debug, and optimize their model code.

  • JUN 04, 2019

    The cloud giants have an AI problem

    The general perception of cloud computing is that it makes all compute tasks cheaper and easier to manage.

  • JUN 01, 2019

    June '19 Newsletter

    Since our public launch in March, our team has grown significantly to expedite product development. Below is information on some of our newest features, as well as some recommended reading from our DL experts.

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