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 ...

The next power bottleneck is no longer just inside the accelerator — it is the full conversion path from medium-voltage AC to ...

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

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 ...

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.

As AI clusters push beyond rack-scale limits, optical interconnects and circuit switching are reshaping how data centers scale.

Bond testing is emerging as a critical control point for long-term performance and yield. As semiconductor devices continue ...

As AI moves from answering prompts to completing work, infrastructure has to optimize the full workflow around the model.