AI Infrastructure
AI infrastructure and compute ecosystem
Articles
Chip Industry Technical Paper Roundup: June 30β8
June 30 roundup: AI/ML advances, chiplet architectures, and automotive safety systems drive chip industry innovation.
LLM-driven, Formal Verification-Assisted Framework Forβ8
ASU and TI propose an LLM-driven, formal verification-assisted framework for functional safety fault criticality assessment.
Hardware Fingerprinting Technique for Silicon Photonic ICs Usingβ9
A novel hardware fingerprinting technique uses photonic crystal density patterns to secure silicon photonic ICs against counterfeiting and cloning.
Rethinking Chip Verification: Strategies for 2026 and Beyondβ9
By 2026, traditional chip verification methods face a 2x complexity gap. This article explores key strategies: formal verification goes mainstream, AI
Chip Industry Week In Reviewβ8
Chip industry update: AI demand surges, geopolitical shifts reshape supply chains, advanced packaging goes mainstream, memory markets stabilize, and
Verification Methodologies Struggle To Keep Up With AIβ9
Verification methodologies struggle to keep pace with rapid AI advancements, creating new challenges for reliability and trust in machine learning systems.
I/O Design Challenges Grow in AI Data Centers and HPC Clustersβ9
I/O design becomes a key bottleneck in 2026 AI data centers and HPC clusters, facing bandwidth, latency, and memory hierarchy challenges.
Atom Probe Framework Tracks Phase Instability in Si-Dopedβ7
New atom probe framework reveals critical silicon doping threshold (5x10ΒΉβΉ cmβ»Β³) in gallium oxide, beyond which phase instability degrades device reliability fo...
Cloud HPC For AI: Addressing Latency, Cost, And Scale At Theβ9
Cloud HPC for AI tackles latency, cost, and scale at the architectural level for optimized performance.
Will Your Chipβs Memory Work As Expected?β10
Meta description for article on on-chip memory reliability in advanced nodes, highlighting 2026 challenges and solutions like BIST, BISR, and ECC for 3nm and be...
