AI breakthrough cuts energy use by 100x while boosting accuracy

AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically …

AI companions can comfort lonely users but may deepen distress over time

AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human relationships.

Living brain cells enable machine learning computations

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems can generate complex time-series signals, …

Crashing waves vs. rising tides: Overturning prior views about how AI could overtake human workers

Anthropic CEO Dario Amodei has said that AI could surpass “almost all humans at almost everything” shortly after 2027. While AI’s capabilities are certainly improving, such rapid progress might seem at odds with findings that show AI is still failing at 95%+ of remote freelance projects, and continues to struggle with hallucination, long term planning, …