July « 2022 « Time for machine learning

Originally published in MIT Technology Review, Jun 24, 2022. One of the godfathers of deep learning is bringing together old ideas to chart a new path for AI, but raises as many questions as it answers. About a year and a half ago, Yann LeCun realized he had made a mistake. LeCun, who is chief scientist at Meta

Originally published in Emerging Tech Brew, Jun 14, 2022. Since 2019, some Big Tech companies have set up AI red teams to expose gaps, biases and security vulnerabilities. It was a snowy day in February, and Amanda Minnich…

Originally published in Nature.com, Jun 22, 2022. An international team of around 1,000 volunteers, many of them academics, have attempted to break big tech’s hold on natural language processing and reduce its misdeeds. Formed with $7 million in state-funded computing…

Originally published in Towards Data Science, Jun 16, 2022. DALL E 2 is OpenAI’s latest AI model. If you’ve seen some of his creations and think they’re amazing, keep reading to find out why you’re absolutely right…

Originally published in Scientific American, June 6, 2022. Close examination reveals that newer systems, including DeepMind’s much-hyped Gato, are still stuck with the same old issues. To the average person, it must seem like…

How many times have I heard that the most critical element of predictive analytics is data? Don’t misunderstand me. The method matters too. But if there’s a choice between better data or…

Welcome to the next episode of Machine Learning Times editor-in-chief Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen to on your favorite platform. Why deep learning could accelerate the next…

Sherry J. Basler