COVID-19 Research and Collaboration
As with all UC San Diego schools, we remain focused on ensuring that we take action to protect our community and the communities beyond our campus. The Center of Machine-Integrated Computing & Security is researching and collaborating with other departments within UC San Diego, with industry leaders and with government entities to find solutions to the challenges brought on by Covid-19.

Our latest initiative! Test phase for contact tracing app begins!! TraceCORONA: UC San Diego MICS and TU Darmstadt Partners in Germany provide a secure and privacy-preserving contact tracing app and communication platform against COVID-19 To obtain the app for testing please refer to https://tracecorona.net/


Our hardware acceleration and system optimization engines are automated – yet customized. We get best-in-class results. [Download a PDF of our brochure]

Real-time and Interactive Machine Learning
From low-power sensor nodes and mobile devices to data centers and the cloud, our customized performance optimization engine is automated and works across platforms. Our solutions integrate adaptive data collection processes with training, learning, and inference in real-time and streaming applications.

Optimized Deep Learning
Our framework allows for training of deep learning networks that are platform independent, and scale from sensors to mobile to data centers. We were the first to build and demonstrate deep-learning training on mobile devices.

Security and Privacy for Cyber-Physical Systems
To secure cyber-physical systems, we fully consider hardware, software, algorithms and data – and their isolation and interactions. This allows us to offer new approaches. Privacy-preserving computing is another focus. Secure embedded medical devices and privacy-preserving DNA analytics are just two examples.

Recent News


Neural implant monitors multiple brain areas at once, provides new neuroscience insights

Neural implant monitors multiple brain areas at once, provides new neuroscience insights

April 27, 2021

How do different parts of the brain communicate with each other during learning and memory formation? A study by researchers at UC San Diego takes a first step at answering this fundamental neuroscience question, thanks to a neural implant that monitors multiple brain regions at the same time. Full Story


Artificial neuron device could shrink energy use and size of neural network hardware

Artificial neuron device could shrink energy use and size of neural network hardware

March 18, 2021

Neural network training could one day require less computing power and hardware, thanks to a new nanodevice that can run neural network computations using 100 to 1000 times less energy and area than existing CMOS-based hardware. Full Story


Defending human-robot teams against adversaries goal of computer science grant

March 17, 2021

UC San Diego computer science professor Kamalika Chaudhuri is part of a multi-university team that has won a prestigious US Department of Defense Multidisciplinary University Research Initiative (MURI) Award to develop rigorous methods for robust human-machine collaboration against adversaries.    Full Story


Industry Partners