AI algorithms are being integrated into a growing number of EDA tools to automate different aspects of data management, but they also are forcing discussions about just how much decision-making should ...

Demand for AI chips is growing exponentially, but costs and complexity limit the technology to a handful of companies. That ...

Acceleration of performance improvements due to AI and disaggregation are driving significant changes at the leading edge of ...

The challenges of manual NoC implementation and how smart automation improves NoC performance. Today’s high-end SoCs contain ...

Every fractional increase in HBM subsystem performance has a multiplier effect on overall AI hardware performance.

Risk and fear go hand in hand within the semiconductor industry. Finding ways to reduce them is a balance against time and ...

Advancements in low-latency interconnects, manufacturing processes, and design tools will enable a proliferation of 2.5D and ...

An AI cluster, at its core, functions like a mini network. Building an AI cluster involves connecting the GPUs to form a high ...

The verification problem space is outpacing the speed of the tools, placing an increasing burden on verification ...

BEOL-Compatible 3-D Logic With Omnipresent Power, Signal, and Clock” was published by researchers at Stanford University, ...

The convergence of front-end and back-end processes in advanced packaging is reshaping the industry. The semiconductor ...

Momentum is building for organic interposers, 3D stacking, and photonics, but questions remain about how the industry gets ...