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At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency of ML systems, from model training to inferencing, making the ability to verify model lineage an essential foundation of ethical ML development.

The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada. This year, Intel presents 36 papers at NeurIPS, including eight at the main … Continuer la lecture →

Discover how Ultralytics tackles real-world challenges with customized YOLO models, solving problems from hazardous zone monitoring to parking management.

The Federated Learning (FL) machine learning paradigm addresses model bias through diverse data, while maintaining privacy and security for data owners.

Intel employees have organized several workshops at NeurIPS 2024, which are co-located with this year’s conference, including AI for Accelerated Materials Design (AI4Mat-NeurIPS-2024), Breaking Silos Open Community for AI x Science, Responsibly Building the Next Generation of Multimodal Foundational Models, … Continuer la lecture →

The most recent OpenFL release enables the next wave of federated learning development.

This article highlights how emotion-based AI prompting application can support people with dementia and Alzheimer’s

India’s largest climate hackathon BuzzOnEarth at IIT Kanpur, powered by Intel® AI technologies

Discover how TurinTech AI, with support from Intel technologies and the Liftoff program, is redefining AI optimization to deliver scalable, cost-effective, and sustainable solutions. As members of the Intel® Liftoff program, the company is shaping a future where scalable, efficient, … Continuer la lecture →

“What if waste wasn’t just waste, but energy waiting to be unleashed?” Discover how WasteAnt’s founders are transforming waste management with AI-driven innovation.