AI opens the door to exploring a much larger solution space, similar to what high-level synthesis did years ago, but ...
Moving from large language models in the cloud to small language models at the edge is much more complicated than just slimming down the algorithms. It requires changes in both hardware and software, ...
As the semiconductor ecosystem pivots to AI, it is transforming how IP is created, verified, managed, and sold.
Researchers from Georgia Institute of Technology published a technical paper titled “Open DRAM Model—Part II: Enabling ...
Worldwide EDA, semiconductor IP, and services revenue reached $5.748 billion in Q1 2026, a 12.7% increase compared to the same period in 2025. The key driver continues to be demand for tools used to ...
Researchers from SK hynix published a technical paper titled “StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration.” The paper proposes StreamDQ for “a ...
Investors kept pouring money into AI hardware startups in the second quarter of 2026. While companies focused on chips for AI data centers have largely dominated the funding over the past year, ...
Quantum computing has imprinted itself on our society as a weird, wacky way of computing that most of us can’t comprehend.
As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.
AI is rocketing ahead. It is the biggest industrial revolution of our age. AI adoption is growing, but still most are at ...
Researchers from Rotonium, Centre for Quantum Technologies at National University of Singapore, Inveriant, Politecnico di Milano, and CNIT published a technical paper titled “Design and Benchmarking ...
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