A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can ...
At the time, their technique was a fascinating but impractical creation. Forty years later, it is poised to become an ...
Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...
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Quantum computers still struggle with chemistry’s hardest molecular calculations
One of the biggest promises of quantum computing is the ability to simulate molecules ...
Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim ...
Kioxia America, Inc. today announced the successful demonstration of high-dimensional vector search scaling to 4.8 billion vectors on a single server using its open-source KIOXIA AiSAQ(TM) approximate ...
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