Category Physics

Nature-inspired navigation system helps robots traverse complex environments without GPS

A bio-inspired system could enhance robot navigation in real-world environments
Performance of the insect-inspired navigation component. The graph shows the AntBot- inspired Spiking Neural Network (red) maintaining a significantly lower positional drift over time compared to conventional Visual-Inertial Odometry (blue) in a challenging desert environment. Credit: (2025). DOI: 10.2139/ssrn.5674916

Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.

Most autonomous navigation systems rely on global positioning systems (GPS), which can provide information about where a robot is located ...

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Self-adapting LLMs behave more like students to absorb new knowledge

Self-adapting LLMs behave more like students to absorb new knowledge
Credit: AI-generated image

In an MIT classroom, a professor lectures while students diligently write down notes they will reread later to study and internalize key information ahead of an exam.

Humans know how to learn new information, but large language models can’t do this in the same way. Once a fully trained LLM has been deployed, its “brain” is static and can’t permanently adapt itself to new knowledge.

This means that if a user tells an LLM something important today, it won’t remember that information the next time this person starts a new conversation with the chatbot.

Now, a new approach developed by MIT researchers enables LLMs to update themselves in a way that permanently internalizes new information...

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Wild new “gyromorph” materials could make computers insanely fast

Gyromorphs Boost Light Computing Power
Illustration of a 60-fold gyromorph’s properties. Top row: Structure of the gyromorph. Left: Structure factor. Right: Pair correlation function. Bottom row: Optical properties. Left: Polarized light beam fully reflected by a gyromorph. Right: Density of states depletion in the gyromorph. Credit: The Martiniani lab at NYU

Gyromorphs merge order and disorder to deliver unprecedented light-blocking power for next-generation photonic computers. Researchers engineered “gyromorphs,” a new type of metamaterial that combines liquid-like randomness with large-scale structural patterns to block light from every direction. This innovation solves longstanding limitations in quasicrystal-based designs and could accelerate advances in photonic computing.

Researchers are exploring a new genera...

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Google’s plan for space-based computing

Two CubeSats orbiting around Earth after being deployed from the ISS. Google is looking at ways satellites can be used for data centres of the future (Credit : NASA)
Two CubeSats orbiting around Earth after being deployed from the ISS. Google is looking at ways satellites can be used for data centres of the future (Credit : NASA)

The sun produces more power than 100 trillion times humanity’s entire electricity generation. In orbit, solar panels can be eight times more productive than their Earth-bound counterparts, generating energy almost continuously without the need for heavy battery storage. These facts have led a team of Google researchers to ask what if the best place to scale artificial intelligence isn’t on Earth at all, but in space?

Project Suncatcher, Google’s latest space mission, envisions constellations of solar-powered satellites equipped with processors and connected by laser-based optical links...

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