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A new kind of memory device may finally solve the problem of overheating and battery drain in electronics. By shrinking components to an extreme scale and redesigning their structure, researchers found a way to reduce energy loss instead of increasing it. The result is a tiny memory unit that improves as it gets smaller—something once thought impossible. This could pave the way for ultra-efficient smartphones, wearables, and AI systems.

Astronomers have unleashed a powerful new AI tool called RAVEN to comb through data from NASA’s TESS mission—and it’s paying off in a big way. By analyzing millions of stars, the system has confirmed over 100 exoplanets, including 31 brand-new worlds, and identified thousands more promising candidates. What makes this especially exciting is the discovery of rare and extreme planets, like those that whip around their stars in less than a day and others lurking in the mysterious […]

For decades, psychologists have debated whether the human mind can be explained by one unified theory or must be broken into separate parts like memory and attention. A recent AI model called Centaur seemed to offer a breakthrough, claiming it could mimic human thinking across 160 different cognitive tasks. But new research is challenging that bold claim, suggesting the model isn’t truly “thinking” at all—it’s just memorizing patterns.

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact. Their model captured complex, one-way (non-reciprocal) forces with over 99% accuracy and even overturned long-held assumptions about how […]

A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium oxide that mimics how neurons process and store information at the same time. Unlike conventional chips that waste energy moving data back and forth, this device operates with ultra-low power—potentially slashing energy use by up to 70%.