From the RMCOE News article "Much More Than the Sum of Its Parts" When it comes to AI, two’s company but three — or more — can be a much harder problem. Many current approaches to AI in science model ...
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 ...
There is a fundamental limit in how we architect System-on-Chips (SoCs) today. We lack the freedom to vary the accelerators we ship together to yield the best power and performance for a given SoC ...
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 ...
Location: Harold Frank Hall (HFH), Room 4110B (ECE Conf. Rm.) Accurately modeling friction in robotics remains a core challenge, as robotics simulators like Mujoco and PyBullet use simplified friction ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results