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 ...
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, ...
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 ...
As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.
Quantum computing has imprinted itself on our society as a weird, wacky way of computing that most of us can’t comprehend.
Characteristics once primarily associated with extending smartphone battery life map directly onto the needs of real-time on-device inference.
As the semiconductor ecosystem pivots to AI, it is transforming how IP is created, verified, managed, and sold.
The conversation about agentic AI in semiconductor and PCB design tends to focus on capability: what the agent can do, how much time it saves, and which parts of the workflow it can automate. That is ...
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