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Intel’s Innovation Selects features a collection of specially curated technical talks and demos, including product deep dives, tailored for developers and tech enthusiasts. The collection highlights groundbreaking work from Intel Labs in artificial intelligence, including new open-source tools and open … Continuer la lecture →

While GPU and AI accelerator products will always play an important role for AI use cases, the host CPU will remain critical for new-age AI-accelerated systems. Intel® Xeon® processors are best positioned to support critical AI workloads as the host … Continuer la lecture →

What if a spreadsheet could think, create, and collaborate? Thanks to Intel® Liftoff member Embedded LLM and their innovative platform, JamAI Base, the familiar spreadsheet transforms into an AI powerhouse. From auto-generating content and extracting data from images to building … Continuer la lecture →

Optimizing the PyTorch Frontend to support diverse AI accelerators

CLIP-InterpreT offers a suite of five interpretability analyses to understand the inner workings of Contrastive Language-Image Pretraining (CLIP) vision-language models, which is crucial for responsible artificial intelligence (AI) development.

This release includes support for onboarding new set of optimized applications and software, plus support for multi-tenancy and simplified concurrent onboarding of multiple edge nodes.

Understanding the internal mechanisms of large vision-language models (LVLMs) is a complex task. LVLM-Interpret helps users understand the model’s internal decision-making processes, identifying potential responsible artificial intelligence (AI) issues such as biases or incorrect associations. The tool adapts multiple interpretability … Continuer la lecture →

OpenFL 1.6 Is Released and Federated Learning for Healthcare Is Showcasing Exciting Possibilities

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 →