Centered at Carnegie Mellon University, the ISTC for Visual Cloud Systems aims to record and anaylze the world's visual information so that computers (not humans) can understand and reason about it.
Centered at Georgia Tech, the ISTC for Adversarial-Resilient Security Analytics will study the vulnerabilities of ML algorithms and develop new security approaches to improve the resilience of ML applications.
Colocated between UC Berkeley and Stanford University, the Agile Design center aims to enable a more agile hardware development flow, to quickly and easily modify an existing design.
Based in China at Tsinghua University, the ICRI for Mobile Networking and Computing is exploring advanced mobile network technologies to support typical applications in the next generation (5G) networks.
Based in Taiwan at the National Taiwan University, this ICRI will serve as a conduit for research collaboration with the global and local industries to develop practical products and services.
Based in Europe, this ICRI will address the major open problems in the design and deployment of intelligent systems that function in the physical world.
Based in Germany, this ICRI will investigate new opportunities for developing significant improvement to (a) the security of autonomous platforms as well as (b) self-defense capabilities of distributed systems.
This program with researchers from Berkeley, Stanford, and CMU is focused on advancing state-of-the-art in deep learning while optimizing it for IA platforms.
Developing techniques to enable energy-smart solutions for system-on-a-chip (SOC) device rapid prototyping.
Making FPGAs more accessible to software developers and expanding the applicability of FPGAs across the compute continuum, from wearables to data centers and supercomputers.
Developing mobile computing SoC architecture for eight-hour sustained operation and to improve efficiency of power/performance by 10x for graphics, media, and sensor IP.
Aims to extract key insights from neuroscience at the algorithmic level to provide guidance on future directions for neuromorphic computing architectures.
Researching approaches to efficiently enable tunability of front end module (FEM) passive filters in mobile RF transceivers.
Looks at approaches for enabling a new generation of ultra-low power (ULP) radios for active low-cost wireless sensor and compute platforms.
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.
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.
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.
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.
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.
Foster novel, multidisciplinary approaches that will transform the way people interact with visual information through mobile and wearable devices, autonomous machines, and semantically aware spaces.
Transform the way people interact with engineered systems and address threats stemming from increasing reliance on computer and communication technologies.
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.
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.
ComSenTer will develop the technologies for a future cellular infrastructure using hubs with massive spatial multiplexing, providing 1-100Gb/s to the end user, and, with 100-1000 simultaneous independently-modulated beams, aggregate hubs capacities in the 10s of Tb/s.
The nanoelectronic COmputing REsearch (nCORE) program funds collaborative university research in the U.S. to develop key technologies to enable novel computing and storage paradigms with long-term impact on the semiconductor, electronics, computing, and defense industries. The nCORE program supports the National Strategic Computing Initiative (NSCI) through government-industry-academia collaborations. It will be driven by fundamental research on emerging materials and devices with the potential to achieve significantly improved efficiency, enhanced performance, and new functionalities, beyond the capability of conventional CMOS technologies. The new program is built upon the learning from the Nanoelectronics Research Initiative (NRI).