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Researchers at KAIST and Microsoft Research Asia developed Neural Value Alignment, a system that reads EEG signals in real time to detect when AI misunderstands human intent. By distinguishing between reward prediction error and state prediction error, the technology enables machines to self-correct without explicit verbal feedback, pointing toward more natural human-AI collaboration.

Zhang Yunhan, founder of Chinese robot brain startup Spirit AI, predicts humanoid robots will handle most general-purpose tasks from verbal instructions by 2027. The Beijing-based company, known for partnerships with Xiaomi and Qualcomm, sees this as a ChatGPT-like moment for embodied AI, though practical household applications remain further out.

The funding round will support ATOMS’ robotics and automation strategy while strengthening the ProKitchens commercial-kitchen network across Europe.

The partnership will combine service robots, building systems and facilities-management software, beginning with real-world pilots in Singapore.

A standardized dataset maps how magnetic fillers reshape the stiffness, stretchability and magnetic response of materials designed for soft robotics.

Elon Musk's companies are advancing an unusually broad slate of technology initiatives in 2026, spanning brain-computer interfaces, humanoid robots, autonomous vehicles, semiconductor manufacturing, and AI infrastructure.

EPFL engineers built a sliding fiber motor that turns voltage into linear motion without gears, for soft robots and wearable devices.

Robots now see the world with an ease that once belonged only to science fiction. But ask a robot to touch something...

At the Moon’s South Pole, the terrain itself can cause communication disruptions. AI is needed for autonomy.

A recent interview with Hans Moravec, published in The New York Magazine, and commentaries.