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
Novel AI Systems
We research and develop optimized hardware and next-generation AI software to create exciting possibilities in a variety of areas including sensing, robotics, healthcare, and large-scale AI applications.
Neuromorphic Computing
Drawing insights from neuroscience to create chips that function more like the biological brain to deliver orders of magnitude improvements in energy efficiency, speed of computation, and efficiency of learning.
Cognitive AI
Driving new machine learning capabilities across language, video, images, simulation, and the physical environment to enable the next generation of AI.
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.
Human-AI Collaboration
Using multimodal sensing and natural language processing technologies to explore how humans and AI can work together to achieve common goals.
“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
AI for Good
We play a dynamic role in the practice and advancement of responsible and ethical AI. This includes the research and development of AI to overcome security and privacy challenges as well as to enhance education, science, and digital accessibility.
AI Security & Privacy
Protecting workloads and enabling the trustworthy exchange of data by investigating threats associated with machine learning and AI, including cyber-attacks and identity theft.
Trusted Media
Developing new approaches for determining the authenticity of media content including deepfake detection, deepfake source detection, and media authentication.
AI Performance Leadership
We’re innovating new ways to optimize complex AI workloads. From accelerating computer vision models to reducing deep learning inference, our high-performance solutions help AI applications achieve reliable, scalable performance.
Natural Language Processing
Advancing state-of-the-art language-based applications across business and organizational environments by optimizing large transformer and pre-trained models.
Graph Neural Networks
Enabling data scientists to drive innovation by using an unending stream of graph-structured data to predict outcomes.
Automated Machine Learning
Improving the efficiency of AI models by automating the most time-consuming machine learning tasks, including AI algorithm optimization and model size reduction.
“The focus of my lab is how can we bring technology to improve people's lives and amplify human potential.”
Lama Nachman
Director, Intelligent Systems Lab
Responsible AI Research
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. This multidisciplinary group provides a rigorous assessment of all Intel® products to ensure our research and development practices uphold the highest ethical standards.
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 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.