Intel Labs is a global research organization committed to inventing breakthrough and world-changing technologies that improve the life of every person on the planet. We seek to solve the most challenging computing problems by building teams of diverse and passionate researchers and working with a world-class network of academic, government and industry collaborators. The research scope spans hardware, software, networking, security, new compute models and architectures for next-generation technologies for use by Intel, academia and early industry adopters.
Quantum computing is an exciting computing paradigm with unique problems to be solved and new physics to be discovered. Quantum computing, in essence, is the ultimate in parallel computing, with the potential to tackle problems conventional computers can’t handle. Intel is working to advance every facet of the quantum stack—architecture, algorithms and control electronics. Our unique capabilities in materials science and manufacturing, along with the expertise of our academic partner, QuTech, uniquely position us to advance novel approaches and harness real solutions toward meeting the challenges of creating a commercially viable quantum system. Aligned to Intel Labs’ mission to deliver innovative technologies with a clear path to reality, Intel is advancing quantum computing systems with a disciplined eye toward scalable designs to achieve quantum practicality.
- Intel’s New Chip to Advance Silicon Spin Qubit Research for Quantum Computing
- The Journey to Building a True Quantum Computer (James Clarke Editorial)
- Intel Hits Key Milestone in Quantum Chip Production Research
- Quantum Computing Backgrounder (PDF)
- Developing Software for the Quantum Era
- Quantum Computing Primer (Infographic)
- Post-Quantum Cryptography: Defending Against Future Adversaries
- Intel and QuTech Collaborate to Produce Silicon Qubits at Scale
- Intel Debuts 2nd-Gen Horse Ridge Cryogenic Quantum Control Chip
- Intel’s Cryoprober for Quantum Research is Unlike Any Other Tool
- White House Office of Science and Technology Policy and the U.S. Department of Energy Announces the National Quantum Initiative Advisory Committee
- Intel Collaborates with Argonne National Laboratory, DOE in Q-NEXT Quantum Computing Research
Neuromorphic computing is a complete rethinking of computer architecture from the bottom up. The goal is to apply the latest insights from neuroscience to create chips that function less like traditional computers and more like the human brain. Neuromorphic systems replicate the way neurons are organized, communicate, and learn at the hardware level. Intel sees its Loihi research chip and future neuromorphic processors defining a new model of programmable computing to serve the world’s rising demand for pervasive, intelligent devices.
- Advancing Neuromorphic Computing Application Development
- Intel Labs Improves Interactive, Continual Learning for Robots with Neuromorphic Computing
- Intel Advances Neuromorphic with Loihi 2, New Lava Software Framework and New Partners
- Update on Intel’s Neuromorphic Ecosystem Growth and Progress
- Intel and Sandia National Labs Collaborate on Neuromorphic Computing
- Intel and Accenture Support Neuromorphic Research Project to Assist Wheelchair-Bound Pediatric Patients
- Singapore Researchers Look to Intel Neuromorphic Computing to Help Enable Robots That ‘Feel’
The field of machine programming (MP), the automation of the development of software, is making notable research advances. This is, in part, due to the emergence of a wide range of novel techniques in machine learning. In today’s technological landscape, software is integrated into almost everything we do – but maintaining software is a time-consuming and error-prone process. When fully realized, machine programming will enable everyone to express their creativity and develop their own software without writing a single line of code. Intel realizes the pioneering promise of machine programming which is why it created the Machine Programming Research (MPR) team in Intel Labs. The MPR team’s goal is to create a society where everyone can create software, but machines will handle the ‘programming’ part.
Intel is one of the leading proponents of university research partnerships and open collaboration, investing approximately $100 million annually into university research programs that span work across numerous technology areas – from 5G to automation and beyond. University researchers are integral partners in Intel Labs’ ongoing work, such as Intel’s relationship with TU-Delft to support our ongoing quantum research, and the Intel Neuromorphic Research Community, which opens up Intel neuromorphic technologies to testing applications among both academic and corporate partners. Through these efforts, Intel Labs seeks to speed the development and scale the impact of emerging technologies to solve some of the most pressing business, technology and societal challenges facing the world today.
- Intel and Penn Medicine Announce Results of Largest Medical Federated Learning Study
- Intel Launches Integrated Photonics Research Center
- Intel Works with University of Pennsylvania in Using Privacy-Preserving AI to Identify Brain Tumors
- Intel, National Science Foundation in Wireless-Specific Machine Learning Edge Research
Artificial Intelligence Research
AI at Intel is founded on a consistent commitment to research. By pioneering what comes next, we are helping shape the future of AI. Intel is focused on empowering, enabling, and influencing others to create a better world for ourselves and future generations. AI has been at the forefront of medical, industrial, social, and technological change in our society. At Intel, we believe AI can help create these global changes, empower us with the right tools, and enable a responsible, inclusive, and sustainable future.