The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

These technologies are no longer futuristic concepts—they are fueling smarter operations, enhanced customer experiences and ...

SiMa.ai, a leading provider of Machine Learning System on a Chip (MLSoC) silicon and the Palette software platform, announced a collaboration with Cisco to bring artificial intelligence (AI) ...

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

The 1U Edge Server LLM-1U-RPL is designed to enable real-Time GenAI and LLM Workloads for on-premises data centers at the ...

A new technical paper titled “NVIDIA GPU Confidential Computing Demystified” was published by IBM Research and Ohio State University. Abstract “GPU Confidential Computing (GPU-CC) was introduced as ...

Level 10 AI Edge Server With the rapid proliferation of generative AI and smart sensing technologies across industries, demand for edge computing solutions capable of real-time data processing and ...

Palo Alto Networks has integrated Prisma AIRS into its Prisma Cloud platform, positioning AI model security as part of overall cloud protection, rather than a separate, complex layer.

Advantech has launched the AIR-120, a compact edge AI inference system, powered by the Intel Atom x7433RE (Amston Lake), Core ...