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Intel Labs offers Atlas CLI, an open source tool for managing machine learning (ML) model provenance, including model artifact integrity and model lineage in ML pipelines

Intel Labs researchers will present eleven papers at conference workshops as part of CVPR 2025. These works include a framework for systematic hierarchical analysis of vision model representations; a flexible graph-learning framework for fine-grained keystep recognition; and a novel interpretability … Continuer la lecture →

At Cisco Live 2025 in San Diego, Intel is redefining what’s possible for the retail industry.

This blog demonstrates the preventative healthcare outreach agentic system built using AutoGen.

This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing vector search settings in RAG systems and offers actionable guidelines for improving RAG pipeline efficiency and effectiveness.

An Intel® Student Ambassador’s GenAI solution for music composition

Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ a novel framework for mixed reality for local and remote teleoperation and task automation

5 AI hacks every founder should know. Learn how to personalize outreach, sharpen pitches, validate products, and move faster without losing focus or customer trust.

The latest Intel® Liftoff Days was a sprint full of progress, teamwork, and fresh ideas. Here’s what happened and why these weeks keep delivering.

Vision transformers (ViTs) can offer greater accuracy in image recognition, classification, segmentation, and computer vision tasks. They also offer more efficient inferencing than existing video analytics technology. In this post, we will look at: How vision transformers workWhy they can … Continuer la lecture →