Machine Learning 101

Blue Origin's latest rocket test ended in what the company called "an anomaly" — and what everyone else would call an explosion. Reed Albergotti (Semafor) explains why blowing things up is just part of the process and why the US Space Program is probably going to be fine. Then, K ...  Show more

What if the fastest path to superintelligence is AI that builds itself? That's the bet Richard Socher is making — and he has the track record to back it up. A double unicorn founder and early investor in eight unicorn companies (including Perplexity and Hugging Face), Richard has ...  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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