Le projet THINK

Top projects built by Intel® Student Ambassadors at the AI PC Pilot hackathon ’24.

Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model

Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model

This article introduces Intel’s new NLP model, Polite Guard.

The Trusted Media research team at Intel Labs is working on several projects to help artists and content owners protect their data from being used in generative artificial intelligence (AI) applications

Learn how the DeepSeek-R1 distilled reasoning model performs and see how it works on Intel hardware.

INDICON 2024, the flagship conference of the IEEE India Council was organized at the Indian Institute of Technology (IIT), Kharagpur (ranked as #5 among the top national engineering institutes declared by the Govt. of India in 2024)[1] in December’24. Intel, in collaboration with IEEE and IIT Kharagpur, marked its remarkable presence at the event by hosting an Intel® AI Hackathon. The hackathon was an AI readiness-focused initiative for next-gen developers, AI enthusiasts and technocrats from higher educational institutions in India which provided them with an opportunity to create and showcase AI innovations.

Vector search is at the core of the AI revolution. It provides applications with access to semantically relevant unstructured data. Scalable Vector Search (SVS) is a performance library for billion-scale similarity search that offers high-performance computing optimizations, along with vector compression and dimensionality reduction techniques. 

Discover how Dowork.ai is transforming customer service for SMEs with AI-powered automation. In their latest video, Mushegh Gevorgyan, Co-Founder of Dowork.ai, explains how their platform automates up to 90% of customer interactions, allowing businesses to scale efficiently. Watch the video to learn how they’re making customer support smarter, faster, and more creative than ever.

Conversational artificial intelligence (AI) is becoming deeply embedded in everyday life. This widespread use risks perpetuating hidden biases that reinforce stereotypes and disadvantages certain groups. Ensuring ethical AI requires a strong focus on understanding biases these systems perpetuate and aligning with human values.