Archives mensuelles : juillet 2025

In this blog, we demonstrate how to build and run a PDF Summarizer Agent using Intel® XPU-optimized tooling for efficient inference, leveraging CrewAI’s orchestration, PyPDF2 for text extraction, and a T5-based model for summarization.

In an era dominated by the narrative that “AI equals GPUs,” a quiet revolution is underway—one that shows not all AI needs to be powered by expensive, scarce, and energy-intensive accelerators.

Adversarial examples can force computer-use artificial intelligence (AI) agents to execute arbitrary code. To aid AI researchers in evaluating robustness of agentic models, Intel Labs researchers open sourced an adversarial image injection proof of concept (PoC) against computer-use AI agents … Continuer la lecture →

Discover how Intel® Gaudi® accelerators and the llm-d stack improve large language model inference by decoupling Prefill and Decode stages. Learn how this approach reduces latency, enables smarter scheduling, and supports hybrid deployments across Intel Gaudi accelerators and NVIDIA GPU’s. … Continuer la lecture →

Intel Labs researchers have developed a new set of safety concepts for mobile and stationary robots that enhance the robot’s operating capabilities while ensuring the robot always maintains a safe state.

Intel and Fluid Inference optimized transformer models to run locally on Intel AI PCs, enabling private, real-time AI. Read on to discover how this breakthrough was achieved.

Intel PyTorch & SGLang Team proposed a high-performance CPU-only solution using the Intel® Xeon® 6 Processor at a fraction of the cost.

Manufacturing environments demand computing solutions that operate continuously under challenging conditions while delivering consistent real-time performance. We’re excited to showcase how Elementary’s breakthrough VisionStream* AI inspection system leverages Intel hardware and OpenVINO™ optimization alongside Canonical’s Ubuntu Core* to solve these challenges.

Unlock AI’s potential with Intel workstations—essential for modern business success and productivity.

Raidu built the first LLM Readability Engine. Intel® Liftoff for AI Startups program helped scale it for real-world AI workloads.