Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data across the chip to a separate processor for storage and number-crunching.

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

Experts at the Table — Part 2: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, chief technology officer at Alphawave Semi; Steve Roddy, chief ...

A new technical paper, “A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM,” was ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

What are the current challenges involved with incorporating sufficient HBM into multi-die design? How a new interconnect technology can address the performance, size, and power issues that could ...

HOD HASHARON, Israel, March 05, 2026 (GLOBE NEWSWIRE) -- Weebit Nano Limited (ASX:WBT ) (Weebit or Company ), a leading developer and licensor of advanced memory technologies for the global ...