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March 25, 2015
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Date:10WednesdayMay 2023Lecture
Why Can’t We Classically Describe Quantum Systems?
More information Time 13:00 - 14:00Location Nella and Leon Benoziyo Physics LibraryLecturer Dr. Chinmay Nirkhe
(IBM Watson)Organizer The Center for Quantum Science and TechnologyContact Abstract Show full text abstract about A central goal of physics is to understand the low-energy s...» A central goal of physics is to
understand the low-energy solutions of
quantum interactions between
particles. This talk will focus on the
complexity of describing low-energy
solutions; I will show that we can
construct quantum systems for which
the low-energy solutions are highly
complex and unlikely to exhibit succinct
classical descriptions. I will discuss the
implications these results have for robust
entanglement at constant temperature and the
quantum PCP conjecture. En route, I will
discuss our positive resolution of the No Lowenergy
Trivial States (NLTS) conjecture on the
existence of robust complex entanglement.
Mathematically, for an n-particle system, the
low-energy states are the eigenvectors
corresponding to small eigenvalues of an
exp(n)-sized matrix called the Hamiltonian,
which describes the interactions between the
particles. Low-energy states can be thought of
as approximate solutions to the local
Hamiltonian problem with ground-states
serving as the exact solutions. In this sense,
low-energy states are the quantum
generalizations of approximate solutions to
satisfiability problems, a central object of
study in theoretical computer science. I will
discuss the theoretical computer science
techniques used to prove circuit lower bounds
for all low-energy states. This morally
demonstrates the existence of Hamiltonian
systems whose entire low-energy subspace is
robustly entangled. -
Date:11ThursdayMay 2023Lecture
Vision and AI
More information Time 12:15 - 13:15Title Human Motion Diffusion ModelLecturer Guy Tevet
TAUOrganizer Department of Computer Science and Applied MathematicsContact Abstract Show full text abstract about Natural and expressive human motion generation is the holy g...» Natural and expressive human motion generation is the holy grail of computer animation. It is a challenging task, due to the diversity of possible motion, human perceptual sensitivity to it, and the difficulty of accurately describing it. Therefore, current generative solutions are either low-quality or limited in expressiveness. Diffusion models, which have already shown remarkable generative capabilities in other domains, are promising candidates for human motion due to their many-to-many nature, but they tend to be resource hungry and hard to control. In this paper, we introduce Motion Diffusion Model (MDM), a carefully adapted classifier-free diffusion-based generative model for the human motion domain. MDM is transformer-based, combining insights from motion generation literature. A notable design-choice is the prediction of the sample, rather than the noise, in each diffusion step. This facilitates the use of established geometric losses on the locations and velocities of the motion, such as the foot contact loss. As we demonstrate, MDM is a generic approach, enabling different modes of conditioning, and different generation tasks. We show that our model is trained with lightweight resources and yet achieves state-of-the-art results on leading benchmarks for text-to-motion and action-to-motion. -
Date:11ThursdayMay 2023Lecture
Exploring the relationship between pottery form and function through lipid and SEM-EDS analysis in West Africa
More information Time 13:30 - 13:30Location Room 590, Benoziyo Building for Biological Science, Weizmann Institute of ScienceContact -
Date:11ThursdayMay 2023Lecture
Innovations in Interventional Oncology: From Benchtop to Clinic
More information Time 14:00 - 15:00Location Max and Lillian Candiotty BuildingLecturer Prof. Stephen Solomon
MD. Ph.D, Head, intervention Radiology MSKCC, New York, NYOrganizer Dwek Institute for Cancer Therapy ResearchContact -
Date:11ThursdayMay 2023Academic Events
Scientific Council Meeting
More information Time 14:00 - 16:00Location The David Lopatie Conference CentreContact -
Date:14SundayMay 202318ThursdayMay 2023Conference
The 9th International Workshop on Electrostatic Storage Devices
More information Time 08:00 - 08:00Chairperson Oded HeberHomepage -
Date:14SundayMay 2023Lecture
Projecting the impacts of climate change on human society
More information Time 11:00 - 12:00Location Sussman Family Building for Environmental SciencesLecturer Ram Fishman
Tel Aviv UniversityOrganizer Department of Earth and Planetary SciencesContact -
Date:14SundayMay 2023Lecture
Immunology and Regenerative Biology Colloquium
More information Time 11:00 - 12:00Title The behavior and influence of neutrophil granulocytes under physiological and pathological conditionsLocation Max and Lillian Candiotty BuildingLecturer Prof. Matthias Gunzer
Leibniz- Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany & Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg- Essen, Essen, GermanyOrganizer Department of Immunology and Regenerative BiologyContact -
Date:14SundayMay 2023Lecture
Next-generation transcriptomics-based precision oncology
More information Time 14:00 - 15:00Location Max and Lillian Candiotty BuildingLecturer Eytan Ruppin, CDSL, NCI, NIH
Center for Cancer Research National Cancer Institute Bethesda, Maryland, USAOrganizer Department of Immunology and Regenerative BiologyContact -
Date:15MondayMay 2023Lecture
Systems Biology Seminar 2022-2023
More information Time 10:00 - 11:00Location Arthur and Rochelle Belfer Building for Biomedical ResearchOrganizer Azrieli Institute for Systems BiologyContact -
Date:15MondayMay 2023Lecture
Features and Objects as Perceptual Attractors: Theory, Paradigm, and Results from The Rat’s Whisker System
More information Time 11:00 - 12:15Location Arthur and Rochelle Belfer Building for Biomedical ResearchLecturer Guy Nelinger, Student Seminar - PhD Thesis Defense
Prof. Ehud Ahissar LabOrganizer Department of Brain SciencesContact Abstract Show full text abstract about Perceivers experience the world around them as organized, wi...» Perceivers experience the world around them as organized, with sensory impressions clearly separated into entities. What makes a perceptual object, and what framework relates it to its composing features? A key insight is that under natural conditions, feature and object information is acquired actively, via sensor movements. Motor and sensory variables affect one another reciprocally, forming a closed-loop system. I therefore hypothesize that percepts signifying an object emerge when the motor-sensory loop’s dynamics converge towards a stable attractor. Using snout and whisker tracking data from freely-moving behaving rats, I outline such an attractor for object detection. I demonstrate that whisker-object contact elicits robust signals on a motor-sensory phase-plane, comprised of the derivatives of whisker base-angle and base-curvature. Over consecutive contact epochs, trajectories on the phase-plane converge to a specific area. The area is characterized by a basin of attraction during contact, more so than in free-air whisking. Differences in head-movement behavior are associated with proximity to the attractor, suggesting that the animal makes use of this proposed coding-scheme. Finally, to build upon these insights, I present a novel paradigm for the study of volitional perceptual exploration, in both rewarded and unrewarded contexts. It supports high-resolution study of motor-sensory development starting at birth, throughout task-learning and until mastery. Taken together, these results highlight a novel framework for the study of the perception of features and objects as motor-sensory attractors.
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Date:15MondayMay 2023Lecture
KENDREW LECTURE: Computational Structural Biology in the Era of Deep Learning
More information Time 11:00 - 12:00Location Gerhard M.J. Schmidt Lecture HallLecturer Prof. John Moult
Institute of Bioscience and Biotechnology Research Department of Cell Biology and Molecular Genetics University of MarylandOrganizer Department of Chemical and Structural BiologyContact -
Date:15MondayMay 2023Lecture
Foundations of Computer Science Seminar
More information Time 11:15 - 12:30Title Bounded Weighted Edit DistanceLocation Jacob Ziskind BuildingLecturer Tomasz Kociumaka
Max Planck Institute for Informatics, GermanyOrganizer Department of Computer Science and Applied MathematicsContact -
Date:16TuesdayMay 2023Lecture
The application of ecological multilayer networks to microbial systems
More information Time All dayLocation Nella and Leon Benoziyo Building for Biological SciencesLecturer Dr. Shai Pilosof
Department of Life Sciences, Ben Gurion University of the NegevOrganizer Department of Plant and Environmental SciencesContact -
Date:16TuesdayMay 2023Lecture
“ Spatiotemporal considerations of DNA damage and repair in the biogenesis of gene amplification in cancer”
More information Time 10:00 - 11:00Location Nella and Leon Benoziyo Building for Biological SciencesLecturer Yifat Bar Or Snarski
Dept. of Biomolecular Sciences - WISOrganizer Department of Biomolecular SciencesContact -
Date:16TuesdayMay 2023Lecture
Special Guest Seminar
More information Time 15:00 - 16:00Location Arthur and Rochelle Belfer Building for Biomedical ResearchLecturer Prof. Alexander Meissner & Prof. Paul Tesar Organizer Department of Molecular GeneticsContact -
Date:16TuesdayMay 2023Lecture
Special Guest Seminar
More information Time 15:00 - 15:00Location Arthur and Rochelle Belfer Building for Biomedical ResearchLecturer Prof. Alexander Meissner & Prof. Paul Tesar Organizer Department of Molecular GeneticsContact -
Date:17WednesdayMay 2023Lecture
Factors determining the early steps in the disease initiation of myeloproliferative neoplasms by the JAK2-mutated hematopoietic stem cell
More information Time 10:00 - 11:00Location Ullmann Building of Life SciencesLecturer Prof. Dr. Radek C. Skoda
Department of Biomedicine, University of Basel, SwitzerlandOrganizer Department of Molecular Cell BiologyContact -
Date:17WednesdayMay 2023Lecture
CALR mutated myeloproliferative neoplasms: pathogenesis and targeted therapies
More information Time 11:00 - 12:00Location Ullmann Building of Life SciencesLecturer Assistant-Prof Robert Kralovics, Ph.D
Department of Laboratory Medicine, Medical University of Vienna, AustriaOrganizer Department of Molecular Cell BiologyContact -
Date:18ThursdayMay 2023Lecture
Non-invasive Methods for Extracting Microstructural Information from Human Tissues: Implementation in a Clinical MRI Scanner
More information Time 09:30 - 10:30Location Gerhard M.J. Schmidt Lecture HallLecturer Ana Naamat
Medical Physics Department, Bariloche Atomic CenterOrganizer Clore Institute for High-Field Magnetic Resonance Imaging and SpectroscopyContact Abstract Show full text abstract about Extracting quantitative information about tissue microstruct...» Extracting quantitative information about tissue microstructure using non-invasive methods is an exceptional challenge in understanding disease mechanisms and enabling early diagnosis of pathologies. Magnetic Resonance Imaging (MRI) is a promising and widely used technique to achieve this goal, but it still provides low resolution to reveal details of the microstructure. Recently, we have developed methods to produce images with quantitative information about the microstructure based on selective probing of spin dephasing induced by molecular diffusion restriction in cavities of the tissue microstructure [1-3]. The feasibility of the theoretical method has been demonstrated so far by first-principles experiments and simulations on typical size distributions of white matter in the mouse brain [3]. As a next step towards practical implementation, we have implemented this method in clinical scanners [4]. In this work, I present the challenges and preliminary results of this implementation in both phantoms and human volunteers. These results open up a new avenue for MRI to advance in extracting quantitative, and fast microstructural information from images.
[1] A. Zwick, D. Sueter, G. Kurizki, G. A. Álvarez, Phys. Rev. Applied 14, 024088, (2020).
[2] M. Capiglioni, A. Zwick, P. Jiménez, G. A. Álvarez. Proc. Intl. Soc. Mag. Reson. Med. 29, 2036 (2021)
[3] M. Capiglioni, A. Zwick, P. Jiménez and G. A. Álvarez, Phys. Rev. Applied 15, 014045 (2021).
[4] E. Saidman, A. Zwick, S. Tambalo, T. Feiweier, J. Jovicich, G. A. Álvarez. Proc. Intl. Soc. Mag. Reson. Med. (2023)
