Data compression is enjoying a renaissance fueled by an unprecedented growth in both the amount of data being generated and our reliance on powerful computation. At its heart is an increasingly intricate interplay between compression, artificial neural networks, and (our) biological neural networks. I will survey some related research in which I have been involved, […]
The end of traditional transistor scaling brings unprecedented new opportunities to semiconductor devices and electronics. We are at the onset of a new technology revolution, which will focus on distributed intelligence and will be pushing the limits of sensing and computing at the edge of the cloud. This seminar will describe some of our work […]
Since the first discovery of semiconductors, materials synthesis has been the driving force for new devices, new applications, and new markets. In this presentation, Professor Doolittle will provide two examples of “counterculture synthesis methods”, methods that buck literature tradition, that enable new devices, applications, and potentially vast new markets. Emphasis will be given to non-standard […]
In recent years, electronic-photonic co-design and co-integration has emerged as a disruptive technology to augment the power of integrated circuits and deliver enhanced chip scale solutions for a variety of applications ranging from communication and sensing to imaging and computation. Coupled with the versatility of electronics, integrated photonic techniques may be employed to assist in […]
The last decade has witnessed a proliferation of legged machines with high power and force densities, as well as a commensurate development of locomotion controllers which achieve impressive empirical demonstrations. Yet, despite showing promise as a means of navigating rough terrain, these machines – and the locomotion controllers which animate them – are still restricted […]
Complex, three dimensional (3D) micro/nanostructures in biology provide sophisticated, essential functions in even the most basic forms of life. Compelling opportunities exist for analogous 3D structures in man-made devices, but existing design options are highly constrained by comparatively primitive capabilities in fabrication and growth. Recent advances in mechanical engineering and materials science provide broad access […]
Presentation Abstract: Designing autonomous systems that are simultaneously high-performing, adaptive, and provably safe remains an open problem. In this talk, we will argue that in order to meet this goal, new theoretical and algorithmic tools are needed that blend the stability, robustness, and safety guarantees of robust control with the flexibility, adaptability, and performance of […]
Despite impressive success in domains such as vision and language, machine learning is still far from reliable integration into many challenging real-world scenarios, such as healthcare, where the coverage of existing data and the ability to collect new, diverse data are limited. This talk focuses on mathematically formulating and addressing some of the challenges in […]
Divide-and-Conquer and incremental compilation strategies are widely used in software compilations. To enable these strategies for FPGAs, this dissertation presents an open-source framework called PRflow, which can speed up the compilation times by at most an order of magnitude. PRflow supports different optimization levels to make better trade-offs among compile-time, area, and performance. -O0 (PRflow_RISCV) […]
Controlling many-body entanglement promises to yield both fundamental insights and practical advances. In particular, generating squeezed states for entanglement-enhanced metrology is an important near-term application of quantum systems. In past work, squeezing has been achieved in a clean, controlled setting using all-to-all Ising interactions between ultracold atoms in an optical cavity. By contrast, optically-addressable spin […]
