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Exploring the limitations of common approximations in modeling non-covalent interactions at the nanoscale, revealing complex scaling behaviors and the need for advanced quantum-mechanical methods.
Explore learning theory applications in computational microscopy, focusing on advanced techniques for image analysis and reconstruction in scientific research.
Explore quantum walk algorithms, efficient implementations, and potential applications in scientific computation with insights on quantum circuit design for various graph types.
Explore neural cross-frequency coupling functions, focusing on delta-alpha interactions in resting state, anesthesia, and sleep. Discover how Bayesian inference reveals functional mechanisms of brainwave oscillations.
Explore how individual cognition scales to collective intelligence in animal groups, examining navigation, decision-making, and behavioral traditions through advanced biologging and sensing technologies.
Explore advanced computational methods for large-scale density functional theory calculations, their applications in materials modeling, and the performance of the DFT-FE open-source code.
Explore pitfalls of ML-based optimization in graph problems, comparing traditional approaches for Force Path Cut and Hypergraph Discovery. Gain insights on limitations and potential improvements in AI applications.
Explore discrete optimization techniques for structured learning, featuring algorithmic aspects, statistical setups, and approaches to feature selection and learning trees.
Optimization-in-loop AI framework for climate action: enhancing ML models with physics, constraints, and decision-making processes for energy grids, building efficiency, and more.
Explore deep learning techniques for untangling genome assembly graphs, improving accuracy and efficiency in DNA sequencing without manual intervention.
Explore quantum simulation's origins, relevance, and key concepts with Nathan Wiebe. Delve into Schrödinger equations, Hamiltonian simulation, and Taylor's theorem in this comprehensive lecture.
Explore quantum algorithms, focusing on Grover's algorithm, with mathematical foundations, quantum circuits, and practical applications in this comprehensive introduction.
Explore mathematical and computational challenges in quantum computing through workshops and collaborations, focusing on empowering mathematics to impact quantum information science and vice versa.
Explore computer-assisted proofs in quadratic forms arithmetic, covering equivalence, representation, local-global principles, and modular forms. Gain insights into complex computations across mathematics.
Explore HolPy, a new proof assistant for verifying symbolic computation using a user-friendly interface similar to computer algebra systems, with examples and future directions.
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