Le projet THINK

This webinar provides a deep dive into the technical aspects of using federated learning in healthcare, particularly for AI-based diagnostic tools in medical imaging.

With the help of CerebraAI’s generative AI software the detection and treatment of strokes can be significantly enhanced. In order to optimize their software CerebraAI is using Intel® OpenVINO toolkit within several of its models.  

In this recap of Rahul Nair’s workshop from Intel® Liftoff Days 2024, we’ll dive into optimization strategies for multimodal AI inference on Intel hardware. Learn how to leverage Intel’s software tools to boost performance and streamline AI workflows.

Discover the latest Intel Tiber Edge Platform features and revolutionize your edge AI solutions!

At Intel® Liftoff Days 2024, mentor Rahul Nair led an engaging workshop on the Inference of Multimodal Models. Dive into the cutting-edge AI techniques he shared, exploring how startups can leverage multimodal data for enhanced performance and real-world applications.

During the Intel® Liftoff Days 2024 hackathon, a series of hands-on workshops provided participants with deep insights into cutting-edge AI technologies and methodologies. Let’s unpack what happened in the first workshop.

Did you miss the PyTorch* Conference held in September of this year? Intel was a Diamond Sponsor for this conference and contributed multiple talks. In this blog, we summarize three talks given by Intel and congratulate the winner and nominee (both from Intel) of a PyTorch contributor award. 

Top projects on Intel® Tiber™ AI Cloud and AI PCs at University of Michigan’s MHacks 2024 hackathon

Ready to take your AI skills to the next level? PredictionGuard, in partnership with Intel® Labs and DeepLearning.AI, is offering a free course on multimodal RAG systems. Learn how to build smart question-answering systems that integrate video, images, and text. Keep reading to find out more.

Intel Labs introduces RAG-FiT, an open-source framework for augmenting large language models for retrieval-augmented generation use cases.