Category Physics

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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Could AI tell you where you left your keys?

Could AI tell you where you left your keys?
MIT researchers have developed a long-term memory framework for robots that combines advanced map representations with rich descriptions of the environment. Here, a moving robot attaches detailed descriptions to the bicycles it sees as it explores. Credit: Massachusetts Institute of Technology

An auto factory worker can remember the storage bin where she left a partly assembled component the night before and quickly return to that spot to pick it up. But robots that may work side by side with her would struggle to develop and access this same type of “spatiotemporal” memory.

Now, MIT researchers have developed a long-term memory framework that allows robots to rapidly form and recall a detailed mental model of complicated, large-scale environments...

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Young stellar activity drives galactic evolution across the universe

Revealing new evidence about cosmic evolution can teach researchers how galaxies begin and grow.
Revealing new evidence about cosmic evolution can teach researchers how galaxies begin and grow.
Photo: Getty Images

Astronomers have revealed new details about how young stars shape their galactic surroundings in a new study. Researchers analyzed about 18,000 star-forming regions in nearby spiral galaxies using data from powerful instruments like the James Webb Space Telescope, Hubble Space Telescope and the Atacama Large Millimeter/submillimeter Array, whose observations were made as part of the PHANGS survey—a collaboration aimed at better understanding galactic evolution.

They found that in normal galaxies, pressure from ionized gas drives the expansion of young star-forming regions...

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Quantum hyperdimensional computing can work 500 times faster than other methods

Quantum computing paradigm inspired by the human brain
Circuit diagram illustrating the two-stage bundling. Credit: npj Unconventional Computing (2026). DOI: 10.1038/s44335-026-00064-6

Cleveland Clinic researchers are unlocking quantum computing’s full potential through the creation of a new computing paradigm inspired by the human brain. Fabio Cumbo, Ph.D., research associate in the lab of Daniel Blankenberg, Ph.D., associate staff, Computational Life Sciences, is developing the model, called quantum hyperdimensional computing (QHDC).

Cumbo published the first-ever implementation of QHDC in two distinct experiments in npj Unconventional Computing.

Hyperdimensional computing (HDC) is a type of computing based in neuroscience. It follows the idea that a concept in the brain is not stored on one single neuron...

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