Le projet THINK

Bezoku, a member of the Intel® Liftoff program, is addressing the challenges of low-resource language modeling with innovative solutions designed to enhance communication across diverse dialects. Recently featured on the Intel On AI podcast, find out how they’re shaping the future of language understanding, promoting quality and representation in the process.

We are excited to announce that PyTorch* 2.5 has introduced support for the torch.compile feature on Windows* CPU, thanks to the collaborative efforts of Intel and Meta*. This enhancement aims to speed up PyTorch code execution over the default eager mode, providing a significant performance boost.

DubHacks’24 Hackathon: Highlights and Winning Projects of the ‘Best Use of Intel AI’ Track

Enhance the performance of Python* and OpenVINO™ based AI/ML workloads using Intel® VTune™ Profiler

Bringing Intel® Tiber™ AI Cloud and AI PC for developers at the UT Austin’s HackTX 2024 hackathon

Discover how Desmond Grealy’s workshop on model quantization with OpenVINO explored ways to enhance AI performance and reduce model size for edge deployment.

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!