The Future of Artificial Intelligence
Intel Labs is shaping the next generation of AI by pioneering advancements that will unlock its true potential.
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Amplifying Human Potential Through AI
We believe in the power of AI to amplify human potential. From revolutionizing healthcare to detecting potentially dangerous deepfake media content, our AI research seeks to solve the greatest challenges of our time while enabling a responsible, inclusive, and sustainable future for us all.
Artificial Intelligence Research Areas
Cognitive AI
Driving new machine learning capabilities across language, video, images, simulation, and the physical environment to enable the next generation of AI.
Graph Neural Networks
Enabling data scientists to drive innovation by using an unending stream of graph-structured data to predict outcomes.
Human-AI Collaboration
Using multimodal sensing and natural language processing technologies to explore how humans and AI can work together to achieve common goals.
Natural Language Processing
Advancing state-of-the-art language-based applications across business and organizational environments by optimizing large transformer and pre-trained models.
Probabilistic Computing
Paving the way for more practical and impactful AI by developing system solutions that give machines the ability to perceive, understand, and predict real-world uncertainty.
Responsible AI
Intel is committed to the responsible advancement of AI technology. Our research is based on international standards and industry best practices and is overseen by the Responsible AI Advisory Council.
“Machines have made a categorical leap from prompt engineering to 'human speak,' however other aspects of intelligence are still awaiting discovery.”
Gadi Singer
Director, Emergent AI Research Lab
Global Research Initiatives
Intel Labs works with academic institutions, government organizations, and industry collaborators from across the globe to advance cutting-edge AI research.
Introducing SPEAR: An Open-Source Photorealistic Simulator for Embodied AI
Intel Labs collaborated with the Computer Vision Center in Spain, Kujiale in China, and the Technical University of Munich to develop a highly realistic, open-source simulation platform that accelerates the training and validation of embodied AI systems in indoor domains.
Intel, Habana Labs, and Hugging Face Advance Deep Learning Software
Scaling adoption of training and inference solutions optimized on latest Intel® Xeon® Scalable processors and Habana Gaudi® and Gaudi®2 processors, this collaboration brings the most advanced deep learning innovation from the Intel AI Toolkit to the Hugging Face open-source ecosystem.
Intel and Mila Strengthen Open Innovation Commitment to Responsible AI
Researchers from Intel and Mila, a Montreal-based AI research institute, join forces to develop advanced AI techniques for problems such as climate change, new materials discovery, and digital biology using responsible AI.
AI Research Centers
Berkeley Artificial Intelligence Research Lab (BAIR)
BAIR brings together UC Berkeley researchers from computer vision, machine learning, natural language processing, planning, and robotics to pursue research on fundamental advances in the above areas.
Center for Brain-Inspired Computing (CBRIC) Enabling Autonomous Intelligence
Sponsored by the Semiconductor Research Corporation, CBRICs mission is to deliver key advances in cognitive computing to enable a new generation of autonomous intelligent systems.
US National Science Foundation (NSF) AI Institutes
Intel Labs cofunds two NSF AI initiatives: the NSF AI Institute for Advances in Optimization led by the Georgia Institute of Technology and the NSF AI Institute for Learning-Enabled Optimization at Scale (TILOS) led by UC San Diego in collaboration with five other universities.