Push the boundaries of possibility
Intel Labs is a global research organization committed to discovering and developing new technologies and compute forms to unleash the exponential power of data.
We are a research hub that seeks answers, solves problems and scales solutions.
What makes us different? Intel’s expertise spanning silicon, software and foundry, gives us a unique place in the research ecosystem to address the data challenges of our future. Our disciplined approach identifies the most promising ideas and advances them through our innovation workstream to deliver impactful technologies to the world.
Quantum Computing
Quantum computing has the potential to tackle problems conventional computers can’t handle. Quantum bits (qubits), can exist in multiple states simultaneously, allowing a large number of parallel calculations. This could solve certain kinds of computing problems much faster.
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Beyond Today's AI
The self-learning, Loihi neuromorphic chip mimics how the brain functions by operating based on feedback from the environment. It can learn more effectively, while requiring lower compute power.
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Emerging Innovations
Nascent technologies are driving the future of innovation in areas of communication, autonomous driving, security and sensemaking. Explore these key area of innovation that are at the forefront of the next technical revolution.
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Research Areas
Artificial Intelligence
Trust Security and Privacy
Efficient Design & Programming
Systems & Software
Sensing Technology
Connectivity & Communications
Memory & Storage
New compute models
Recent Publications
BrainIAK Tutorials: User-Friendly Learning Materials for advanced fMRI analysis
Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capotă, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
Investigating Topics, Audio Representations and Attention for Multimodal Scene-Aware Dialog
Shachi Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage, Jonathan D. Cohen
Mining Message Flows using Recurrent Neural Network for System-on-Chip Designs
Yuting Cao, Parijat Mukherjee, Mahesh Ketkar, Jin Yang, Hao Zheng
News and Insights
Partners in Innovation
Explore our academic and industry collaboration partnerships.