Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
A new analytical method could improve how cancer treatments are designed—by allowing scientists to track, for the first time, ...
Automation not only increases throughput, saves operator time, and reduces errors, but it also improves measurement ...
At NVIDIA’s DevSparks Pune 2026 masterclass session, attendees explored the software stack and built a Video Search and Summarization agent with NVIDIA DGX Spark, learning how compact AI systems ...
Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...
Training deep neural networks (DNNs) typically requires large-scale datasets, which poses substantial challenges related to computing resources and storage. Dataset Quantization (DQ) was introduced to ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...
The 2025 Nobel Prize in Physics has been awarded to John Clarke, Michel H. Devoret, and John M. Martinis “for the discovery of macroscopic quantum tunneling and energy quantization in an electrical ...
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