Self-supervised learning approach can test 20 million cells or more

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

2025 AI Training New Discovery: Reinforcement Learning is More Effective than Rote Memorization

2025 AI Training New Discovery: Reinforcement Learning is More Effective than Rote Memorization ...
TechNode

Tencent Tests New Framework That Trains AI Models to Think Strategically Through Gaming

Tencent researchers have developed a new training framework called “Think in Games” (TiG) that teaches AI models strategic ...
The Malaysian Reserve

AI and Machine Learning Uses in Neuroscience Drug Discovery, Upcoming Webinar Hosted by Xtalks

In this free webinar, learn how AI in scientific research is influencing translational practices and improving therapeutic development. Attendees will ...

AI Data Model Protection: How To Secure Your AI Tool Against Attacks

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...
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MIT Researchers Develop Self-Supervised Robot for Fast, Precise Material Testing

MIT researchers have developed a self-supervised robotic system that dramatically accelerates contact-based material characterization by autonomously guiding a probe to perform over 125 precise ...