Research is Expanding the Future
Driving critical research in computer science through academic collaboration.
Centered at MIT, the ISTC for Big Data will explore data analytics to support data-intensive discovery including database management, analytics, and visualization support.
Centered at Carnegie Mellon University, the ISTC for Cloud Computing research community researched critical new underlying technologies for cloud computing of the future.
Centered at the University of Washington, the ISTC for Pervasive Computing brought together research leaders in wireless communication and sensing, AI and ML, computer vision, HCI, and security.
Centered at the University of California, Berkeley, the ISTC Center for Secure Computing focuses on scientific research to make computing technology safe and secure for users.
Centered at Georgia Tech, the ISTC for Adversarial Machine Learning will study the vulnerabilities of ML algorithms and develop new security approaches to improve the resilience of ML applications.
Centered at Stanford University, the Agile Design center aims to enable are more agile hardware development flow, to quickly and easily modify and existing design.
Based in England at University College London, Imperial College London, and Future Cities Catapult this center researches the compute fabric needed to support an urban Internet of Things at city scale.
Based in Germany at TU Darmstadt, this center explores lightweight, cost-effective security and trust anchor primitives for IoT edge devices with integrated outputs into flexible and agile silicon prototypes.
Based in Israel at Technion and Hebrew University, this center focuses on hardware/software innovations for accelerating machine learning and cognitive applications.
Based in China at Tsinghua University, the ICRI for Mobile Networking and Computing will explore advanced mobile network technologies to support typical applications in the next generation (5G) networks.
Hubbed in Germany at Saarland University, the Institute focuses on visual computing research, meaning the acquisition, modeling, processing, transmission, rendering, and display of visual and associated data.
The Center for Domain-Specific Computing (CDSC) at UCLA 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.
Developing novel algorithms, architectures, accelerators, circuits, and power management techniques that optimally exploit randomized compressive measurements and compressed domain data processing for 2D/3D still/video/MRI images.
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.
Realizing way to efficiently manage and consume vast and exponentially growing amount of egocentric videos captured via wearable camcorders and mobile devices.
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 improve efficiency of power/performance by 10x for graphics, media, and sensor IP.
Develop innovative techniques to reducing memory latency, create low latency storage systems, and accelerate progress in general-purpose microarchitectures and accelerator architectures.
Aims to extract key insights from neuroscience at the algorithmic level to provide guidance on future directions for neuromorphic computing architectures.
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.
Researching approaches to efficiently enable tunability of front end module (FEM) passive filters in mobile RF transceivers.