AI Infrastructure
AI infrastructure and compute ecosystem
Articles
Blog Review: October 7 — Key Semiconductor and Design Insights⭐8
Semiconductor Engineering's weekly blog review covers chip design, EDA, manufacturing, advanced packaging, AI hardware, security, and automotive trends shaping ...
Thermal Complexity Grows With AI Chips And Photonics⭐9
AI chips exceeding 1000W and co-packaged photonics create complex thermal challenges, demanding advanced liquid cooling, thermal isolation, and precise temperat...
Chip Industry Technical Paper Roundup: October 6⭐7
Weekly roundup of new semiconductor technical papers covering chip design, EDA, advanced packaging, manufacturing, and computing architectures shaping 2026 and ...
Extreme Environments Push Chips to Their Breaking Point⭐10
Extreme environments like automotive heat and space radiation are pushing semiconductor chips to their limits, reshaping design, materials, and testing by 2026.
The Agentic AI Super Cycle: Why 2026 Marks the Shift from⭐8
Agentic AI is moving from demos to production in 2026. Explore why autonomous agents, inference-heavy silicon, and the AI super cycle will reshape the industry.
From Physical Devices to RTL: Tracing Hardware Design at⭐9
Researchers at Infineon and TU Munich are tracing physical chips back to RTL for hardware security, legacy support, and IP verification, tackling silicon imagin...
HBF for High-Throughput LLM Serving: UC Berkeley and FuriosaAI's⭐9
UC Berkeley and FuriosaAI use Hybrid Bonding Foundation (HBF) tech to boost LLM inference throughput with higher memory bandwidth and lower latency.
Formal Automotive Security Analysis of CAN XL⭐9
Researchers from Georgia Tech, QCRI, and Purdue formally analyze CAN XL security, examining frame integrity, error confinement, and DoS resistance for next-gen ...
The Proof Economy: How Verifiable Computation Is Reshaping the⭐9
Verifiable computation is fueling semiconductor growth, driving demand for proof accelerators as zero-knowledge proofs and AI attestation reshape silicon design...
Memory at the Edge: Non-Volatile Memory Challenges and⭐10
Discover the non-volatile memory challenges and requirements for humanoid robots, from high endurance and low latency to real-time edge AI processing.