Cardiology training today exists in a paradox. As the specialty becomes more complex, particularly in procedural domains, the time and resources available to train new cardiologists have dwindled.
Reinforcement-learning algorithms in systems like ChatGPT or Google’s Gemini can work wonders, but they usually need hundreds of thousands of shots at a task before they get good at it. That’s why ...
Reimagining In-Home Humanoid Robot Training with Gig Talent In recent years, consumer-grade humanoid robots have moved from science fiction into ...
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