Brain-inspired AI architecture could computing faster and far less power-hungry

New brain-inspired architecture could process data more efficiently
Dual memory pathway abstraction. At the algorithmic level, each layer maintains a shared, low-dimensional state that captures slow contextual dynamics and modulates fast spiking activity. At the hardware level, this separation is mirrored by a heterogeneous accelerator that keeps the compact state on-chip and fuses sparse and dense computations for efficient execution. Credit: Sun et al.

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with each other. While biological neurons exchange information in the form of electrical impulses, SNNs rely on brief signals known as spikes.

SNNs have proved promising for reducing power consumption, as developers can ensure they do not process information continuously, but rather ...

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Webb spots the birth of a giant galaxy and a supermassive black hole

Astronomers have used the James Webb Space Telescope to catch an extraordinary glimpse of a massive galaxy taking shape in the early universe. They identified a compact group of at least six galaxies that are likely to merge into a single enormous system. At the heart of this cosmic construction site lies a growing supermassive black hole.

The international study was led by astronomers at Leiden University and the University of Oxford. The findings have been published in The Open Journal of Astrophysics and Astronomy & Astrophysics.

The system observed, TGSSJ1530+1049, lies more than 12 billion light-years away. We are seeing it as it was when the universe was only about 1.5 billion years old...

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Soundwaves could power a new kind of chip inspired by the human brain

Neuromorphic functionality and computational benchmarking of TAS. Credit: Science Advances (2026). DOI: 10.1126/sciadv.aec6633

Neuromorphic computing is a computing approach that mimics how the human brain works. Our gray matter is a marvel of nature, capable of handling huge volumes of data with incredible energy efficiency. While modern AI hardware is becoming better at processing complex tasks, it consumes vast amounts of energy.

One of the promises of neuromorphic computing is that it places memory and processing in the same location, using far less energy than traditional AI chips. However, even the most sophisticated neuromorphic systems are fairly simple and don’t come close to matching the number of connections among human neurons.

But a new study published in the journal...

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NASA testing advanced capabilities for moon, Mars rovers

Developed at NASA’s Jet Propulsion Laboratory, ERNEST (Exploration Rover for Navigating Extreme Sloped Terrain) is used in a desert field test to help refine mobility hardware and autonomy software that could be used for a potential future long-range lunar rover mission.

On a bleak stretch of the Colorado Desert in Southern California, a compact four-wheeled rover recently trundled 16 miles (26 kilometers) with minimal intervention from the team of engineers trailing it. Called ERNEST (Exploration Rover for Navigating Extreme Sloped Terrain), this prototype is being used by NASA to advance both robotic autonomy and the ability to traverse challenging landscapes.

Developed at NASA’s Jet Propulsion Laboratory in Southern California, ERNEST is 4 feet (1.2 meters) long...

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