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Scientists have created an ultra-small nanolaser that could eventually allow microchips to transmit information with light instead of electricity, potentially making computers faster while cutting energy use roughly in half. Thousands of the lasers could fit on a single chip, opening possibilities for more efficient data centers, smartphones, and advanced medical sensors.
AI leaders worry antitrust law could stand in the way of what they view as an increasingly urgent push to coordinate a slowdown in AI development.
Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as random “noise”—to understand how synapses buried deep inside brain networks—or brain-inspired devices—can adapt to improve the learning capabilities of the networks as a whole.
Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.
Cable television (CATV) remains a cornerstone of how national broadcasts and emergency information reach thousands of households. Unfortunately, many older apartment buildings were not built with fiber-optic wiring in mind, making retrofitting with the necessary CATV infrastructure too costly or impractical and leaving residents unable to access broadcast services.
Every year, the prizes recognize the weirdest research that often raises some very serious scientific questions.
Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing …
Read more “Memristor chip breaks the capacity limit of brain-inspired associative memory”
Vulcan oven mitts, spaceship baking dishes, and an out-of-this-world communicator grater—you’ll need warp speed to Klingon to this limited edition kitchen kit, ideal for perfecting the broth of Khan.
The wrong bag can aggravate you every single day. These WIRED-tested picks get comfort, capacity, and organization just right.
The results are in: Which AI model is the most fallible? Persuadable? Correctible? University of Arizona researchers assessed seven different generative AI large language models, or LLMs, for these three qualities during lengthy conversations. Their work, published in Nature’s Scientific Reports, reveals intrinsic limitations that might go undetected during one-off interactions.