-
-
Articles récents
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
- Building AI With Empathy: Sorenson’s Mission for Accessibility
- Multi-node deployments using Intel® AI for Enterprise RAG
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
-
Neural networks news
Intel NN News
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® […]
- Multi-node deployments using Intel® AI for Enterprise RAG
As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG […]
- Building AI With Empathy: Sorenson’s Mission for Accessibility
For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the […]
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
-
Archives mensuelles : juillet 2025
Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI research to make AI more sustainable, efficient, and deployable across various hardware platforms. Souvik recently received the prestigious IEEE/ACM DAC Under-40 Innovators Award 2025 for … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
Wondering if your AI startup should team up with a big tech company? Here’s what 350+ founders learned from working directly with Intel and how it paid off.
Publié dans Non classé
Commentaires fermés sur How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to remove redundancies in Mamba-based models, improving their computational and memory efficiency
Publié dans Non classé
Commentaires fermés sur Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
Industrial enterprises need more than just AI to scale technology across diverse environments. They need open, flexible, and interoperable platforms.
Publié dans Non classé
Commentaires fermés sur Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
Generative AI is changing how businesses work, and Retrieval-Augmented Generation (RAG) is one of the most exciting tools out there. It helps AI give smarter, more accurate answers by connecting it to your company’s data. But setting it up can be tricky—until … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
Scalable Vector Search: Deep Dive Series
Vector search is at the core of the AI revolution, and this blog series is here to teach you all about it. Our blog series introduces scalable vector search and dives deeper into sector compression, dimensionality reduction, and Retrieval-Augmented Generation … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur Scalable Vector Search: Deep Dive Series