Unlocking AI’s Potential: Insights from Dell’s Varun Chhabra on Storytelling, Innovation, and Transformation.
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Neural networks news
Intel NN News
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Unlocking AI’s Potential: Insights from Dell’s Varun Chhabra on Storytelling, Innovation, and Transformation.
Scientists involved in the multi-year research project completed several prototype studies, demonstrating the potential of the program to facilitate student engagement in various learning environments, including classrooms, after-school programs, and home-based learning. The final Kid Space research study shows the value of the immersive learning environment in supporting collaborative problem-solving (CPS) processes in young learners.
Hewlett Packard Enterprises (HPE) set a world record for the TPC Benchmark™ Express AI (TPCx-AI) SF100 benchmark.
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 metric that measures how consistently individual attention heads in CLIP models align with specific concepts
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