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Explore quantum walk algorithms with Jingbo Wang from the University of Western Australia, in a less than 1-hour presentation at IPAM, UCLA. Delve into efficient quantum circuit design and potential applications.
Explore the challenges in understanding biological temperature sensors via cryo-EM with Sonya Hanson from the Flatiron Institute. This less than 1-hour session, offered by IPAM, delves into pose estimation, noise, and more.
Explore geometric deep learning for object detection in cryo-electron micrographs with Tristan Bepler's IPAM workshop. Learn about semantic segmentation, instance segmentation, and more in under an hour.
Explore high-performance algorithms for subtomogram averaging with Mikhail Kudryashev from the Institute for Pure & Applied Mathematics. Less than 1-hour workload.
Explore computer vision methods for segmenting and analyzing subcellular components in Cryo-Electron Tomography with Stanford's Serena Yeung, in a less than 1-hour session by IPAM.
Explore 4D-STEM data processing with machine learning and Bayesian optimization in this under 1-hour material from IPAM. Learn from Yimo Han of Rice University.
Explore subwavelength resolution in fluorescence microscopy with Anna Gilbert from Yale University, in a less than 1-hour session by IPAM. Dive into inverse scattering, neuron reconstruction, and more.
Explore AI and HPC applications in real-time X-ray diffraction imaging with Mathew Cherukara's lecture at IPAM, UCLA. Less than 1-hour workload.
Explore petascale connectomics with Princeton's Sebastian Seung in this short, intensive session from IPAM at UCLA. Dive into brain connectivity, automated image analysis, and future projects.
Explore the impact of traumatic brain injury on brain connectivity with Sarah Muldoon's presentation at IPAM, featuring analysis of structural network changes and clinical outcomes.
Learn oscillatory dynamics analysis with Arkady Pikovsky from Universität Potsdam, in a short program by IPAM at UCLA. Understand phase demodulation and network reconstruction.
Explore individual probabilities, reference class problem, and model multiplicity with Aaron Roth from the University of Pennsylvania, in a less than 1-hour session by IPAM.
Explore algorithmic fairness with Guy Rothblum of Apple Inc. and Omer Reingold of Stanford University in this less than 1-hour material from IPAM at UCLA.
Join IPAM's Latinx in Mathematical Sciences Conference for a brief, insightful presentation by David Uminsky on data science, Fourier analysis, and topological data analysis.
Explore how machine learning enhances Quantum Monte Carlo methods with Brenda Rubenstein's lecture from the Institute for Pure & Applied Mathematics. Less than 1-hour workload.
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