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Live Webinar: Getting Started with Habana: Deep Speed Optimization on Large Models

Download a guide with links to key resources for getting started with Intel oneAPI AI software.

Intel’s AI software, tools with hardware architectures are improving AI application performance

Peter Izsak is a Staff Research Scientist at Intel Labs, where he explores topics at the intersection of Deep Learning and Natural Language Processing.   Highlights: Intel Labs performed a language model research study with Tel-Aviv University, University of Washington, and Meta AI. … Continuer la lecture →

Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)

The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Labs, facilitating … Continuer la lecture →

Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Graph Detection Transformer, a Fast Learnable Once-for-all Adversarial Training method, a method for quantizing convolutional neural networks for efficient training, face access models applied in a hypothetical social network, and a … Continuer la lecture →

Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Intel Labs’ top 10 blogs for 2022.

At NeurIPS 2022, Intel Labs researchers and academic and corporate co-organizers hosted a workshop centered around leveraging novel AI techniques to advance the complex challenge of materials design and bringing advanced materials into the real world to address some of today’s … Continuer la lecture →

Microsoft Azure Cognitive Services based AI Inferencing on-premises with Intel Xeon Platforms