Category Physics

Researchers at Tokushima University have demonstrated single-channel wireless transmission at 112 Gbps in the 560 GHz band using soliton microcombs, marking a significant step toward next-generation 6G communications.

Conventional electronic technologies face fundamental limitations in generating stable high-frequency signals beyond 350 GHz, including reduced output power and increased phase noise...

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours.

The researchers found that the automated agents can become dangerously fixated on completing assignments without recognizing when their actions are harmful, contradictory, or simply irrational.

The team compared these behaviors to those of Mr. Magoo, the famously near-sighted cartoon character popular in the 1960s, who stumbled through hazardous situations while insisting everything was under control.

“Like Mr...

On Thursday, NASA issued a Request for Proposal (RFP), seeking industry collaboration for the Mars Telecommunications Network.

Reliable, high bandwidth communications are necessary to relay science data, high-definition imagery, and critical information during Mars missions. The network will use high-performance Mars telecommunications orbiters at the red planet to support future surface, orbital, and human exploration.

This RFP builds on a draft released April 2, as well as insights gathered during the accompanying industry day at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, where commercial partners provided feedback on agency objectives for the Mars Telecommunications Network.

The request seeks responses that address both current and future operational missio...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI “model collapse,” potentially averting growing numbers of AI hallucinations in the future.

First coined in 2024, “model collapse” refers to a scenario where an AI model trained on AI-produced data ceases to provide accurate results, instead producing inaccurate “gibberish” because of the poor quality of its training data.

Some have warned that high-quality text data to train systems like Large Language Models (LLMs) is set to run out as early as this year, and so data produced by models themselves has taken a larger training role—inviting the threat of model collapse.

Simple statistical models reveal a fix
Through analysis of a simple yet powerful set of statistical ...