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 […]
Colloquium
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Computer simulations have become critical elements of the medical device design and regulatory approval process. Naturally, the predictability and therefore value of such simulations depends highly on their accuracy. Especially for the design of heart valve replacements and repair technologies computer simulations have become a critical tool. While much progress has been made in modeling […] |
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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 […] |
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Quantum computation has potential to solve problems that are out of reach for today’s classical computers. Many of the proposed applications for quantum computers (QCs), such as those in chemistry, material science, and optimization, are capable of substantial human impact. However, the full promise of quantum will only be realized if better qubits and QCs […] |
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Rapidly growing renewable generations and peak loads pose a serious threat to the security and reliability of modern power and energy systems. A critical question is "how to accommodate a high penetration of renewable generation and deep electrification?". This talk focuses on two key challenges, i.e., unknown information and the scalability issue of coordinating large-scale […] |
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