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March 25, 2015

  • Date:10WednesdayMay 2023

    Why Can’t We Classically Describe Quantum Systems?

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    Time
    13:00 - 14:00
    Location
    Nella and Leon Benoziyo Physics Library
    LecturerDr. Chinmay Nirkhe
    (IBM Watson)
    Organizer
    The Center for Quantum Science and Technology
    Contact
    AbstractShow 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.
    Lecture
  • Date:11ThursdayMay 2023

    Vision and AI

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    Time
    12:15 - 13:15
    Title
    Human Motion Diffusion Model
    LecturerGuy Tevet
    TAU
    Organizer
    Department of Computer Science and Applied Mathematics
    Contact
    AbstractShow 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.
    Lecture
  • Date:11ThursdayMay 2023

    Exploring the relationship between pottery form and function through lipid and SEM-EDS analysis in West Africa

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    Time
    13:30 - 13:30
    Location
    Room 590, Benoziyo Building for Biological Science, Weizmann Institute of Science
    Contact
    Lecture
  • Date:11ThursdayMay 2023

    Innovations in Interventional Oncology: From Benchtop to Clinic

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Stephen Solomon
    MD. Ph.D, Head, intervention Radiology MSKCC, New York, NY
    Organizer
    Dwek Institute for Cancer Therapy Research
    Contact
    Lecture
  • Date:11ThursdayMay 2023

    Scientific Council Meeting

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    Time
    14:00 - 16:00
    Location
    The David Lopatie Conference Centre
    Contact
    Academic Events
  • Date:14SundayMay 202318ThursdayMay 2023

    The 9th International Workshop on Electrostatic Storage Devices

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    Time
    08:00 - 08:00
    Chairperson
    Oded Heber
    Homepage
    Conference
  • Date:14SundayMay 2023

    Projecting the impacts of climate change on human society

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    Time
    11:00 - 12:00
    Location
    Sussman Family Building for Environmental Sciences
    LecturerRam Fishman
    Tel Aviv University
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    Lecture
  • Date:14SundayMay 2023

    Immunology and Regenerative Biology Colloquium

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    Time
    11:00 - 12:00
    Title
    The behavior and influence of neutrophil granulocytes under physiological and pathological conditions
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Matthias Gunzer
    Leibniz- Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany & Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg- Essen, Essen, Germany
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:14SundayMay 2023

    Next-generation transcriptomics-based precision oncology

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    LecturerEytan Ruppin, CDSL, NCI, NIH
    Center for Cancer Research National Cancer Institute Bethesda, Maryland, USA
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:15MondayMay 2023

    Systems Biology Seminar 2022-2023

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    Time
    10:00 - 11:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    Organizer
    Azrieli Institute for Systems Biology
    Contact
    Lecture
  • Date:15MondayMay 2023

    Features and Objects as Perceptual Attractors: Theory, Paradigm, and Results from The Rat’s Whisker System

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    Time
    11:00 - 12:15
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerGuy Nelinger, Student Seminar - PhD Thesis Defense
    Prof. Ehud Ahissar Lab
    Organizer
    Department of Brain Sciences
    Contact
    AbstractShow 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.
    Lecture
  • Date:15MondayMay 2023

    KENDREW LECTURE: Computational Structural Biology in the Era of Deep Learning

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    Time
    11:00 - 12:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. John Moult
    Institute of Bioscience and Biotechnology Research Department of Cell Biology and Molecular Genetics University of Maryland
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:15MondayMay 2023

    Foundations of Computer Science Seminar

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    Time
    11:15 - 12:30
    Title
    Bounded Weighted Edit Distance
    Location
    Jacob Ziskind Building
    LecturerTomasz Kociumaka
    Max Planck Institute for Informatics, Germany
    Organizer
    Department of Computer Science and Applied Mathematics
    Contact
    Lecture
  • Date:16TuesdayMay 2023

    The application of ecological multilayer networks to microbial systems

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    Time
    All day
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerDr. Shai Pilosof
    Department of Life Sciences, Ben Gurion University of the Negev
    Organizer
    Department of Plant and Environmental Sciences
    Contact
    Lecture
  • Date:16TuesdayMay 2023

    “ Spatiotemporal considerations of DNA damage and repair in the biogenesis of gene amplification in cancer”

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerYifat Bar Or Snarski
    Dept. of Biomolecular Sciences - WIS
    Organizer
    Department of Biomolecular Sciences
    Contact
    Lecture
  • Date:16TuesdayMay 2023

    Special Guest Seminar

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    Time
    15:00 - 16:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerProf. Alexander Meissner & Prof. Paul Tesar
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:16TuesdayMay 2023

    Special Guest Seminar

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    Time
    15:00 - 15:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerProf. Alexander Meissner & Prof. Paul Tesar
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:17WednesdayMay 2023

    Factors determining the early steps in the disease initiation of myeloproliferative neoplasms by the JAK2-mutated hematopoietic stem cell

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    Time
    10:00 - 11:00
    Location
    Ullmann Building of Life Sciences
    LecturerProf. Dr. Radek C. Skoda
    Department of Biomedicine, University of Basel, Switzerland
    Organizer
    Department of Molecular Cell Biology
    Contact
    Lecture
  • Date:17WednesdayMay 2023

    CALR mutated myeloproliferative neoplasms: pathogenesis and targeted therapies

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    Time
    11:00 - 12:00
    Location
    Ullmann Building of Life Sciences
    LecturerAssistant-Prof Robert Kralovics, Ph.D
    Department of Laboratory Medicine, Medical University of Vienna, Austria
    Organizer
    Department of Molecular Cell Biology
    Contact
    Lecture
  • Date:18ThursdayMay 2023

    Non-invasive Methods for Extracting Microstructural Information from Human Tissues: Implementation in a Clinical MRI Scanner

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    Time
    09:30 - 10:30
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerAna Naamat
    Medical Physics Department, Bariloche Atomic Center
    Organizer
    Clore Institute for High-Field Magnetic Resonance Imaging and Spectroscopy
    Contact
    AbstractShow 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)

    Lecture

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