Research is Expanding the Future

Driving critical research in computer science through academic collaboration.


Accelerator Rich Architectures with Applications to Healthcare (CDSC)

The Center for Domain-Specific Computing (CDSC) is researching accelerator-rich architectures with applications to health care, in which personalized cancer treatment is added as an application domain in addition to medical imaging.

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Productive and Efficient Heterogeneous Programming (ASPIRE)

Recognizes the shift from transistor-scaling-driven performance improvements to a new post-scaling world where whole-stack co-design is the key to improved efficiency.

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Berkeley Artificial Intelligence Research (BAIR) Lab

Brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.

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Real-time Intelligent Secure Execution (RISE)

A 5-year research project focused on solving the systems, machine learning, and security challenges required to create an oepn-source, general-purpose, secure stack that can make intelligent decisions on live data in real-time.

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Stanford Data Sciences Initiative Affiliates Membership (SDSI)

The Stanford Data Science Initiative (SDSI) is a university-wide organization focused on core data technologies with strong ties to application areas across campus.  SDSI comprises methods research, infrastructure, and education.

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Partnerships with the National Science Foundation

Intel NSF: Visual and Experiential Computing

Foster novel, multidisciplinary approaches that will transform the way people interact with visual information through mobile and wearble devices, autonomous machines and semantically aware spaces.

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Intel NSF: Cyber-Physical Systems, Security and Privacy

Transform the way people interact with engineered systems and address threats stemming from increasing reliance on computer and communication technologies.

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Intel NSF: Information-Centric Networking in Wireless Edge Networks

Seeks unique data network architectures featuring an information plane using an Information-Centric Networking (ICN) approach and addressing discovery, movement, delivery, management, and protection of information within a network, along with the abstraction of an underlying communication plane creating opportunities for new efficiencies and optimizations across communications technologies that could also address latency and scale requirements.

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Intel NSF: Computer Assisted Programming for Heterogeneous Architectures

Addresses the problem of effective software development for diverse hardware architectures through groundbreaking university research that will lead to a significant, measurable leap in software development productivity by partially or fully automating software development tasks that are currently performed by humans.

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Semiconductor Research Corporation

STARnet is a collaborative network of stellar research centers - within the SRC - finding paths around the fundamental physical limits threatening the long-term growth of the microelectronic industry. For more information email Todd Younkin at


Brings together experts in magnetic materials, spin transport, novel spin-transport materials, spintronic devices, circuits, and novel architectures to overcome constraints of conventional CMOS-based devices.

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Focuses on successful innovation of application-driven architectures leveraging emerging circuit fabrics such as 3D interconnect, novel memories, and programmable logic for the transitional 2020s.

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Designs and creates non-conventional materials and nanostructures with unique correlated quantum properties to accelerate innovation in analog, logic, and memory devices for semiconductor and defense applications.

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Investigates the physics of new materials and devices toward disruptive advances in integrated circuits and systems. In particular, the prosing of the TFET transistor, a leading option for a post-CMOS switch.

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Addresses challenges of achieving energy efficiency and robustness in the nanoscale era associated with the design of intelligent embedded systems on nanoscale CMOS and beyond CMOS device fabrics.

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Aims to enable simple, reliable, and secure deployment of advanced distributed sense and control applications on massively distributed, and mostly uncoordinated, platforms through an open and universal systems architecture.

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