Learning Based System Design and Optimization
MICS brings together experts across the diverse fields of data analytics, learning, system design, computing, and device technologies. Our collective goal is to leverage state-of-the-art AI technologies for revolutionizing the design and optimization of next generation engineering systems.

Real Time and Interactive AI
MICS faculty includes experts in the fields of statistical learning, information theory, signal processing, and data science.  Our collective research aim is integrate adaptive data collection processes with training, learning, and inference of generative AI models for real-time, predictive, and streaming applications.

Robustness, Security, Ethics, and Privacy for AI Systems
MICS faculty are leading experts in co-design and optimization of robust end-to-end systems across hardware, software, algorithms and data - and their isolation and interactions. This allows us to offer new approaches to explainability, trustworthiness, and privacy-preserving computations. 

Recent News


MICS and IEM Collaborate via Networking Event

MICS and IEM Collaborate via Networking Event

November 14, 2024

The Center for Machine-Intelligence, Computing & Security collaborated with the UC San Diego Institute of Engineering in Medicine on a recent networking event.    Full Story


18 New Endowed Chairs Created at the UC San Diego Jacobs School of Engineering

18 New Endowed Chairs Created at the UC San Diego Jacobs School of Engineering

August 6, 2024

The UC San Diego Jacobs School of Engineering has created 18 new endowed chairs, empowering a world-class cohort of faculty to explore new and innovative research directions. These endowed chairs have been made possible through the generous and visionary philanthropy of Irwin and Joan Jacobs. Full Story


Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems

Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems

June 10, 2024

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego.    Full Story


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