Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...

Mitigating LLM Memorization in RTL Code Generation Against IP Leakage” was published by researchers at University of Central ...

The Internet is full of other incidents involving robots in lab, factory, and even festival settings.

Safeguarding data during computation using hardware-protected enclaves that isolate code and data from untrusted software.

A new technical paper titled “Enhanced Edge Etching Resistance and EUV Lithographic Performance of a Tin-Oxide Photoresist ...

While AUTOSAR with SAFERTOS 3 is still the dominant solution for safety-critical ECUs, Synopsys is seeing solutions that use ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

Openness across software, standards, and silicon is critical for ensuring interoperability, flexibility, and growth.

There are benefits and challenges of processing AI workloads on-device to enhance performance, reduce costs, and ensure data ...

The system is integrated with the building management system and capacity planning tools, creating a unified platform for ...

Researchers from the University of Southern California, University of Massachusetts, University of California Los Angeles, ...

The CV3-AD655 is the mid-range product in the CV3-AD family, offering advanced L2+ (also called L2++) and L3 autonomy with ...