Inside Project Nova, Firefox's biggest redesign in years
…of its revenue from Google as the primary search engine. But if user activity moves away from search to AI-driven LLMs, what then? Varma said that they're keeping their options…
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What is AutoDeploy?
Every new LLM architecture comes with its own inference challenges, from transformer models to hybrid vision language models (VLMs) to state space models (SSMs). Turning a reference implementation into a high-performance inference engine typically requires adding KV cache management, sharding weights across GPUs, fusing operations, and tuning the execution graph for specific hardware. AutoDeploy shifts this workflow toward a compiler-driven approach. Instead of requiring model authors to manually reimplement inference logic, AutoDeploy automatically extracts a computation graph from an off-the
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Discussions and forums
Show HN: AI agents who prevent context drift through gossip
Most multi-agent systems fail the same way: agents drift apart across handoffs. By turn 3 they are working in different realities. By turn 5 they are repeating each other's mistakes and calling it parallelism. WUPHF is a…
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Show HN: My AI agents bully each other to prevent context drift
Most multi-agent systems fail the same way: agents drift apart across handoffs. By turn 3 they are working in different realities. By turn 5 they are repeating each other's mistakes and calling it parallelism.WUPHF is an…
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Mixed-input matrix multiplication performance optimizations
Mixed-input matrix multiplication performance optimizations January 26, 2024 Posted by Manish Gupta, Staff Software Engineer, Google Research Quick links AI-driven technologies are weaving themselves into the fabric of our daily…
5 New Digital Twin Products Developers Can Use to Build 6G Networks | NVIDIA Technical Blog
…Chong received her Ph.D., in electronics and electrical engineering from the University of Edinburgh in Scotland and her bachelor's in electronics and electrical engineering from the University of Manchester. She…
#DAC2026 Marks Another Pivotal Moment for the Semiconductor Industry - Semiwiki
…related design topics and a significant increase in engineering and research submissions. One of the central themes at DAC 2026 is AI-driven EDA. Machine learning and generative AI technologies are rapidly…
Google's TurboQuant cuts AI working memory by 6x, but it won't fix the global RAM shortage
…Instead, the aim is to address memory overhead in the KV cache for LLMs. This cache stores conversational context as users interact with AI chatbots and grows the more you use the…
Enhancing Distributed Inference Performance with the NVIDIA Inference Transfer Library | NVIDIA Technical Blog
…KVBench offers significant advantages for LLM engineers by accelerating benchmarking and iteration through the automatic calculation of exact KV cache I/O size and batch size for supported models, and generates a…
Biting the silver bullet: AI in the games industry in 2026 and beyond | Opinion
…AI-driven animation was pioneered through Motion Matching, first in Hitman Absolution , and is now a staple in Unreal Engine 5. We use player analytics across the biggest titles in mobile and…