The Future of Programming & Design
Intel Labs enables engineers and developers to accelerate the pace of semiconductor innovation by delivering novel IP solutions and breakthroughs in design efficiency.
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Accelerating the Pace of Innovation
We believe the power of artificial intelligence technology will usher in an era of software and hardware design and programming capabilities that will help speed the pace of innovation. In addition, advances in areas such as integrated silicon photonics, near-memory computing, and heterogeneous chiplet integration will have profound benefits for energy efficiency and performance of computing systems.
Programming & Design Research Areas
Machine Programming
Advancing the field of automated software development by empowering computers to invent novel algorithms and data structures.
Heterogeneous Programming
Developing programming models that can span diverse workloads and architectures with portable, performant code.
Automated Machine Learning
Automating the time-consuming process of AI optimization while addressing machine learning bottlenecks that prevent the scaling of AI innovations.
AI for Materials Design
Researching ideas that promote fully automated, closed-loop approaches to designing next-generation materials design systems.
"Our goal remains: revolutionize the data center by bringing optical IO directly onto our servers and into our packages."
James Jaussi
Senior Principal Engineer at Intel Labs
Global Research Initiatives
Intel Labs works with academic institutions, government organizations, and industry collaborators from around the globe to advance cutting-edge programming and design research.
Future of Semiconductors Initiative (FuSe) Supports Semiconductor Advancements
FuSe is a cross-sector partnership with the US National Science Foundation, Intel, Ericsson*, IBM*, and Samsung* that invests in designing and manufacturing the next generation of semiconductors.
Intel Cosponsors Data Systems and Artificial Intelligence Lab (DSAIL) University Research Program
The DSAIL University Research Program at the Massachusetts Institute of Technology (MIT) will generalize the vision of instance optimization to a wide variety of data systems and applications.
Intel Labs and the US National Science Foundation Fund New Machine Programming Research at MIT
This joint initiative funds new research into the automation of key aspects of engineering code for scalable, heterogeneous systems using machine programming.
Programming & Design Research Centers
Applications and Systems Driven Center for Energy-Efficient Integrated NanoTechnologies (ASCENT)
ASCENT supports the next era of functional hyper-scaling by demonstrating foundational material synthesis routes and device technologies and novel heterogeneous integration schemes.
Applications Driving Architectures Center (ADA)
The ADA Center is reigniting system design innovation by drawing on opportunities in application-driven architecture and system-driven technology advances, with support from agile system design frameworks that encompass programming languages to implementation technologies.
Center for Research on Intelligent Storage and Processing-in-Memory (CRISP)
CRISP is helping empower everyday programmers to achieve highly portable, bare-metal, and understandable performance across intelligent memory and storage architectures.