The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by ...

Free Analog Computing with Imperfect Hardware” was published by researchers at The University of Hong Kong, University of ...

A new technical paper titled “Thin-film lithium niobate quantum photonics: review and perspectives” was published by ...

A new technical paper titled “Efficient Hardware-Assisted Heap Memory Safety for Embedded RISC-V Systems” was published by ...

Researchers from Flinders University proposed a new extraction technique for recovering gold from electronic waste and ore that avoids the use of mercury and cyanide, which are often used in ...

Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by ...

A new technical paper titled “Security Enclave Architecture for Heterogeneous Security Primitives for Supply-Chain Attacks” ...

AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data ...

How, why, and where LLMs can make a difference in chip manufacturing equipment.

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

Processor architecture efficiency; PHYs for high-speed data movement; chiplet ecosystem barriers; LLMs on the edge; data center dominance shifting to AMD and Arm; LLMs; RTL vs. functional sign-off; ...

However, the issue of standards is essential for a functioning chiplet ecosystem.