Using artificial intelligence to improve early breast cancer detection
Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.
Epicenter of eCommerce – Artificial Intelligence
Global e-commerce activity is expanding fast with developing economies gaining prominence. E-Commerce: Payments through mobile, internet and cards – This has vastly transformed the way of doing business in the modern day. We all have come across or mo…
Artificial Intelligence Innovation in FinTech
With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of cu…
8 Essential Tips for People starting a Career in Data Science
Introduction Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn – R or Python? …
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Teleoperating robots with virtual reality
A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.
Meta-Learning for Wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent.
Meta-Learning for Wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent.
Competitive Self-Play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our
Competitive Self-Play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our
Regina Barzilay wins MacArthur “genius grant”
MIT computer scientist who studies natural language processing and machine learning wins $625,000 prize.