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June 21, 2026) - Aether AI, a frontier artificial intelligence company building Causal World Models, today announced the ...

Enterprises struggle to make decisive actions despite having access to substantial data and investment in analytics tools.

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

A comprehensive review published in Skin outlines the emergence of “Dermatology AI 2.0”, a fundamental transition from ...

Aether AI, founded by UCSD researcher Biwei Huang, has raised $20mn to build causal world models for robots, a direct challenge to AI's scaling orthodoxy.

A chief goal of artificial intelligence is to build machines that think like people. Yet it has been argued that deep neural network architectures fail to accomplish this. Researchers have asserted ...

We have had a "data fetish" with artificial intelligence (AI) for over 20 years—so long that many have forgotten our AI history. Our saturated mindset states that all AI must start with data, yet back ...