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Semiconductor: 29 AI articles covering semiconductor news, analysis, and research
Articles
HBF for High-Throughput LLM Serving: UC Berkeley and FuriosaAI'sNEWโญ9
UC Berkeley and FuriosaAI use Hybrid Bonding Foundation (HBF) tech to boost LLM inference throughput with higher memory bandwidth and lower latency.
The Proof Economy: How Verifiable Computation Is Reshaping theโญ9
Verifiable computation is fueling semiconductor growth, driving demand for proof accelerators as zero-knowledge proofs and AI attestation reshape silicon design...
Moore's Law AI: Applying Agentic AI Across Chip Designโญ9
Agentic AI moves into production across chip design in 2026, automating design space exploration, physical layout, verification, and cross-domain optimization.
AMD to Acquire World Labs in an $8B+ Deal, Co-Founder Namedโญ7
AMD agrees to acquire World Labs in an $8B+ deal, with co-founder Fei-Fei Li joining as chief scientist, boosting AMD's AI push into spatial intelligence.
When AI Agents Cross Chip Design Silosโญ9
AI agents are breaking down chip design silos, bridging architecture, RTL, verification, and physical implementation to resolve cross-domain trade-offs and redu...
Concurrent HBM and Host Memory Access Boosts LLM Inferenceโญ9
Georgia Tech, Nvidia, and Stanford show that concurrent HBM and host memory access boosts LLM inference throughput by hiding latency and scaling beyond HBM capa...
Hardware-Software Co-Design in the AI Era: A 2026 Perspectiveโญ9
Hardware-software co-design is reshaping AI computing by 2026, enabling domain-specific architectures, chiplets, and AI-driven design automation for faster, eff...
Token Costs Become the New EDA Budget Battlegroundโญ8
Token-based pricing for AI features in EDA tools is becoming a budget concern, pushing chip designers to optimize usage as costs rival traditional software lice...
Can GPUs Continue to Dominate AI Compute?โญ8
GPUs still dominate AI compute in 2026 but face pressure from custom silicon, NPUs, and emerging architectures reshaping the landscape.
AI and Voice at the Edge: 2026 Trends and Technical Insightsโญ10
Explore 2026 trends in edge voice AI: low-power semiconductors, on-device processing, wake-word detection, and the tech solving latency, privacy, and cost chall...