Cockroach Milk, How to Blow Your Nose, and Mosquito Printers: The Ig Nobels of 2026
Every year, the prizes recognize the weirdest research that often raises some very serious scientific questions.
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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.
The Home Depot Labor Day sale goes hard on grills and tools. Here are our recommendations on what to buy—and what to ignore.
While many fear artificial intelligence will replace humans, using AI to take over some human roles has benefits. Companies can use the technology to conduct surveys and polls, while behavioral scientists can run experiments on digital twins to gather faster insights without risking harm or distress to real participants.
More than 200 people in roles such as engineering, finance, and communications will now be represented by the Communications Workers of America.
While most believe artificial intelligence (AI) is changing science, researchers at the University of Notre Dame are exploring the reverse.
The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.