Machine Learning 101

Why would Anthropic let select companies use a product deemed too dangerous for the public? Nitasha Tiku (The Washington Post) helps us peek behind the curtain of Claude Mythos Preview and explores the scare tactics of AI CEOs. Taylor Lorenz (User Mag) breaks down the world of AI ...  Show more

What do frat boys, nepo babies and the Super Bowl have in common? Prediction markets. Wall Street Journal investigative reporter Katherine Long tells us how information from Jeff Bezos's stepson sparked a bet worth nearly a million dollars, and how a rumor loosely tied to Mark Wa ...  Show more

Artificial intelligence is letting us make predictive algorithms that translate languages and spot diseases as well or better than humans. But these systems are also being used to make decisions about hiring and criminal sentencing. Do computers trained on vast datasets of human ...  Show more

Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. ...  Show more

Just as manufacturing automation cuts into human jobs, the prospect of creative artificial intelligence raises the specter of robot writers, robot artists and robot musicians who never sleep and always agree with their patron. But paranoia aside, where will creative machine le ...

This is the last episode of the series "Embedded ML" and I made it for the bravest :) I speak about machine learning compiler optimization to a much greater detail.

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