MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...
Transformer on MSN
Teaching AI to learn
AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.
Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...
SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.
1 天on MSN
Humans& thinks coordination is the next frontier for AI, and they’re building a model to prove it
Humans&, a new startup founded by alumni of Anthropic, Meta, OpenAI, xAI, and Google DeepMind, is building the next ...
Multi-tasking robots equipped with artificial intelligence will change the world. Mankind has to be ready to get the best out ...
It’s called negativity bias, or negativity biasand it is the tendency of our brain to attribute greater significance to negative ...
The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...
Microsoft’s Rho-alpha, which combines vision and tactile sensing, is part of an industry move towards foundation-style robotics models that can generalise across tasks, hardware, and various ...
The most celebrated early successes of artificial intelligence were computers beating human champions in games such as chess and Go. Today we are all playing games against AI. The price ...
The most celebrated early successes of artificial intelligence were computers beating human champions in games such as chess and Go. Today we are all playing games against AI. The price ...
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