The award is the first federal grant received by the Real AI initiative, launched earlier this year at UCSB and co-directed by Jeong, Miolane, and Qin. Rather than limiting AI models to pairwise ...
Daniel Blumenthal part of a of a team from the Quantum Systems through Entangled Science and Engineering (Q-SEnSE) center Through the National Science Foundation’s Quantum Leap Challenge Institutes ...
AI is fundamentally revolutionizing imaging, transforming how we capture, reconstruct, enhance, and experience visual content. Advancements in AI are actively overcoming the physical limitations of ...
Learning and control algorithms are integral to modern engineered systems, such as power grids, autonomous vehicles, and robotics. In many settings, they must operate online under uncertain and ...
Three-dimensional integrated circuits stack multiple dies to reach integration densities beyond the limits of planar scaling, but the same vertical integration concentrates power in a small volume and ...
Dissipative Kerr Soliton (DKS) microcombs have emerged as a future solution to bring metrological optical frequency comb (OFC) capabilities into a photonic integrated platform with mass-scale ...
Inspection presents the largest bottleneck in the National Nuclear Security Administration's (NNSA) manufacturing enterprise and is as much as 4x more costly than fabrication itself. On top of this, ...
Location: Harold Frank Hall (HFH), Room 4108 (ECE Conf. Rm.) AI has exposed an inconvenient truth: computation is no longer the bottleneck — memory is. Despite decades of aggressive scaling, modern ...
This seminar features short research talks covering a range of topics across AI, photonics, communications, control, and computing systems. Learn about ongoing work in the department and connect with ...
The future of space exploration demands instrumentation that is ultra-miniaturized, robust, and capable of functioning reliably in harsh, extreme environments—from the cryogenic depths of outer space ...
Efficient video compression relies heavily on accurate block prediction and effective frame reconstruction, both of which depend on statistical models that capture the characteristics of the encoded ...
Three short talks by UCSB PhD students Roark Chao, Poorva Shukla, and Abdelrahman S. Abdelrahman presenting a wide array of ECE topics from photonics to dynamical systems to quantum algorithms. All ...
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