Le projet THINK

An Intel® Student Ambassador’s GenAI solution for music composition

Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ a novel framework for mixed reality for local and remote teleoperation and task automation

5 AI hacks every founder should know. Learn how to personalize outreach, sharpen pitches, validate products, and move faster without losing focus or customer trust.

The latest Intel® Liftoff Days was a sprint full of progress, teamwork, and fresh ideas. Here’s what happened and why these weeks keep delivering.

Vision transformers (ViTs) can offer greater accuracy in image recognition, classification, segmentation, and computer vision tasks. They also offer more efficient inferencing than existing video analytics technology. In this post, we will look at:

How vision transformers workWhy they can improve existing AI vision modelsHow vision transformers can potentially be used in an array of applications

Note: earlier version of this article was published in LinkedIn

Falcons.AI’s 4MB neural network mimics the brain to cut power use by 10x, delivering accurate image recognition on edge devices with limited resources.

Intel researchers found that DeepSeek-R1 demonstrates greater semantic specialization in expert routing compared to earlier mixture of experts (MoE) models

Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable Workshop found that multi-agent artificial intelligence (AI) systems create novel challenges for explainability, transparency, and trustworthiness

We are thrilled to introduce a technical preview of Windows ML, enhanced by the built-in performance advantage of the OpenVINO™ toolkit on Intel hardware. This allows developers to seamlessly leverage AI inferencing capabilities in Windows applications, marking a significant milestone to scale AI on Windows.

Identify brands from logos and retrieve business data in seconds. This AI agent links vision models and search tools – optimized for local, Intel-accelerated deployment.