Forge Nano Announces Opening of Taiwan Office to Accelerate AI-Driven Photonics Manufacturing and Expand Regional Operations - AZoM
Forge Nano Announces Opening of Taiwan Office to Accelerate AI-Driven Photonics Manufacturing and Expand Regional Operations AZoM
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If Memory Could Compute, Would We Still Need GPUs?
If Memory Could Compute, Would We Still Need GPUs? The bottleneck for LLM inference isn't GPU compute. It's memory bandwidth. A February 2026 ArXiv paper (arXiv:2601.05047) states it plainly: the primary challenges for LLM inference are memory and interconnect, not computation. GPU arithmetic units spend more than half their time idle, waiting for data to arrive. So flip the paradigm. Compute where the data lives, and data movement disappears. This is the core idea behind Processing-in-Memory (PIM). SK Hynix's AiM is shipping as a commercial product. Samsung announced LPDDR5X-PIM in February 2026. HBM4 integrates logic dies, turning the memory stack itself into a co-processor. Is the GPU era ending? Short answer: no. But PIM will change LLM inference architecture. How far the change goes,
Anthropic's Claude Desktop Apps Gain Windows Support for Computer Use Feature
Anthropic has released Windows versions of Claude Code Desktop and Claude Cowork, bringing the 'computer use' feature—which allows the AI to interact with files and applications on a user's computer—to the platform. This follows the macOS release and marks a key step in Anthropic's desktop strategy. Anthropic's Claude Desktop Apps Gain Windows Support for Computer Use Feature Anthropic has expanded the availability of its desktop applications, Claude Code Desktop and Claude Cowork , to the Windows operating system. The official launch, announced via the company's social media channels, brings a critical capability— "computer use" —to Windows users for the first time. What Happened The core announcement is straightforward: the Claude Desktop applications now support Windows . Previously, th
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ciflow/trunk/173838: Update on "[FSDP2] add fqn to communication ops"
Uses dist.record_comm() from #173837 to annotate FSDP2 collectives with the module FQN, so profiler traces show e.g. FSDP::all_gather (layers.0) instead of nccl:all_gather . GPU-side annotation: record_comm : NCCL kernel annotation CPU-side trace annotation: record_function [ghstack-poisoned]
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[P] SpeakFlow - AI Dialogue Practice Coach with GLM 5.1
Built SpeakFlow for the Z.AI Builder Series hackathon. AI dialogue practice coach that evaluates your spoken responses in real-time. Two modes: Practice (AI evaluates accuracy/grammar/fluency) and Presentation (lines hidden, hints available, instant scoring). Supports 11 languages, audio recording, detailed session reports. Built with: HTML5, Web Speech API, GLM 5.1, Vercel Live: https://speakflow-omega.vercel.app Code: https://github.com/ArjunGanjinalli/speakflow #buildwithGLM submitted by /u/Future-Ad-1493 [link] [comments]
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