The rapid build-out of AI on the edge marks a fundamental shift in where intelligence is located, how much is included in ...

In handwritten digit recognition, it achieved a 90.4% recognition accuracy while reducing input data by 75% “The core of this ...

Chips are getting bigger, more modular, and much more capable as new innovations mix with existing processes and ...

At the heart of CFETs are defect-free epitaxy, ALD dielectrics, workfunction-optimized metals, and perhaps layer transfer.

Semiconductor R&D depends on access to high-quality data, realistic process assumptions, and practical learning from silicon.

HBM4 allows a customized base die, a capability that primarily targets hyperscalers. Exactly how these projects proceed will vary by project, but the scarce resource is design teams and tools.

Reducing energy consumption is key to both lowering inference cost and enabling emerging physical AI applications.

To increase interconnect density to support the bandwidth requirements of AI workloads, manufacturers are turning to 2.5D and 3D packaging architectures. While 2.5D interposers, as passive components, ...

Cadence’s Ravi Vora explains how the AMBA AXI5 Memory Tagging Extension can detect memory misuse with minimal runtime overhead by associating a small allocation tag with each memory granule and ...

Power, token cost, interconnects, and software orchestration are pushing data centers toward heterogeneous clusters built ...