Quantum computers still face limits when it comes to storing information. Researchers at ETH Zurich are now turning to ...
A Korean research team has developed a technology that enables the stable stacking of more than 10 ultrathin semiconductor ...
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
AI data center demand is tightening memory chip supplies, forcing manufacturers to prioritize AI hardware over consumer devices and raising concerns about higher prices and future shortages.
Even before mobile phones started taking photos everywhere, digital images suffered from a very simple problem. They looked ...
Micron makes clear the shortage will last, but memory customers are developing workarounds.
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Upsampling method sharpens AI vision with up to 16 times less GPU memory
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...
Scientists in Germany have pulled off a staggering computing feat by fully simulating a 50-qubit quantum computer for the first time ever using Europe’s new exascale supercomputer, JUPITER. The ...
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches by up to 6x. With 3.5-bit compression, near-zero accuracy loss, and no ...
When Google unveiled TurboQuant on March 24, headlines declared the algorithm could slash AI memory use sixfold with zero accuracy loss and deliver eight times faster processing. Within days, Samsung ...
Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...
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