System-level energy and bandwidth pressures are pulling optics into the package faster than the manufacturing flow can mature. Photonics combines front-end fabrication, materials, thermal, cleanliness ...

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, ...

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 Georgia Institute of Technology published a technical paper titled “Open DRAM Model—Part II: Enabling ...

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 the semiconductor ecosystem pivots to AI, it is transforming how IP is created, verified, managed, and sold.

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.

Soaring AI/HPC device demand is driving leading-edge foundries to support the transition from wafers to panels to accommodate increasingly larger device sizes. But to ensure that panels with multiple ...

The AI revolution is significantly outpacing the IC industry’s ability to sufficiently test multi-chip systems for all necessary failure mechanisms at probe, final test, and system-level test. The ...

AI infrastructure is entering a crucial new phase. The first phase of generative AI infrastructure was defined by accelerator scale: how many GPUs, NPUs or custom AI accelerators could be deployed, ...

Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.