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March 17, 2016
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Date:15WednesdayOctober 2025Lecture
Machine Learning and Statistics Seminar
More information Time 11:15 - 12:15Title ReLU networks and polytopesLocation Jacob Ziskind BuildingLecturer Amir Yehudayof
Technion and the University of CopenhagenOrganizer Department of Computer Science and Applied MathematicsContact Abstract Show full text abstract about ReLU networks are a standard example of neural networks. We ...» ReLU networks are a standard example of neural networks. We will discuss the expressivity of neural networks, focusing on their depth. The plan is to start with a general introduction and a survey of basic results, including the duality between ReLU networks and a model for constructing polytopes. We will then discuss polytopes and discuss how their properties can help us understand the depth of neural networks.
Based on joint works with Bakaev, Brunck, Hertrich and Stade. -
Date:16ThursdayOctober 2025Conference
Affinity and Biorecognition- Meir Wilchek 90th Birthday
More information Time 08:00 - 08:00Title Affinity and Biorecognition- Meir Wilchek 90th BirthdayLocation The David Lopatie Conference CentreChairperson Ronen AlonContact -
Date:19SundayOctober 2025Lecture
Special Guest Seminar
More information Time 11:00 - 12:00Title Dissecting Alzheimer’s Disease Risk Genes: Insights from Immune Genetic PerturbationsLocation Max and Lillian Candiotty Building
AuditoriumLecturer Dr. Neta Rosenzweig Organizer Department of Molecular Neuroscience , Department of Immunology and Regenerative BiologyContact -
Date:20MondayOctober 2025Lecture
The Clore Center for Biological Physics
More information Time 13:15 - 14:15Title Fluctuations and large deviations of the current in diffusive systemsLocation Nella and Leon Benoziyo Physics LibraryLecturer Professor Bernard Derrida
Refreshments at 12:45Contact Abstract Show full text abstract about For diffusive systems (i.e., systems which satisfy ...» For diffusive systems (i.e., systems which satisfy Fourier's law or Fick's law) maintained in a non-equiilibrium steady state by contact with two heat baths or two reservoirs, the macroscopic fluctuation theory developed over the last 25 years has become a major tool to calculate the fluctuations and the large deviation function of the heat or of the particle currents. After a review of the main achievements of the theory, I will try to list some open issues. In particular, although the theory predicts the same large deviationfunction of the current in all dimensions, numerical calculations exhibit some small discrepancy in space dimension d > 2.This talk will try to explain the origin of these discrepancies.work in collaboration with Thierry Bodineau -
Date:21TuesdayOctober 2025Lecture
Weizmann Ornithology monthly lecture
More information Time 14:10 - 15:30Location Benoziyo biochemistry
591C between eleevatorsLecturer Uri Moran
Bird club meetingContact -
Date:22WednesdayOctober 2025Lecture
Developmental Club Series 2025-26
More information Time 10:00 - 11:00Title Signaling Induced Plasticity in Mouse Naive ESCs Enables Direct and Transgene-Free Generation of Synthetic EmbryosLocation Botnar auditoriumLecturer Dr. Jacob Hanna -
Date:22WednesdayOctober 2025Lecture
2025-2026 Spotlight on Science Seminar Series - Dr. Xiao-Meng Sui (Department of Chemical Research Support)
More information Time 12:30 - 14:00Title Unveiling the Invisible: XRM/Micro-CT and its ApplicationsLocation Gerhard M.J. Schmidt Lecture HallLecturer Xiaomeng Sui Contact Abstract Show full text abstract about X-ray microscopy (XRM) or X-ray micro computed tomography (m...» X-ray microscopy (XRM) or X-ray micro computed tomography (micro-CT) is a non-destructive and noninvasive imaging technique that uses X-rays to characterize cross-sectional and three-dimensional internal structures. While CT was initially developed for medical imaging, the need for higher resolution and the advancement of technology led to the creation of micro-CT in the early 1980s, specifically for evaluating material structure and other applications requiring higher detail.In this talk, I will introduce XRM, its brief history and basic principles, along with some examples of applications. -
Date:23ThursdayOctober 2025Lecture
In vivo targeted and deterministic single cell cancer induction
More information Time 14:00 - 15:00Location Candiotty
AuditoriumLecturer Prof. David Bensimon Organizer Dwek Institute for Cancer Therapy Research -
Date:23ThursdayOctober 2025Lecture
Development of Fluorescence- and Bioluminescence-Based Methods to Monitor and Modulate Sphingolipid Metabolism in Living Cells
More information Time 14:00 - 15:00Location Perlman Chemical Sciences Building
404Lecturer Prof. Christoph Arenz Organizer Department of Chemical and Structural Biology -
Date:26SundayOctober 2025Lecture
Lunar Polar Volatiles
More information Time 11:00 - 12:00Location Stone Administration Building
Zacks hallLecturer Oded Aharonson Organizer Department of Earth and Planetary SciencesAbstract Show full text abstract about Lunar volatiles, especially water, hold the key to sustainin...» Lunar volatiles, especially water, hold the key to sustaining long-term human presence on the Moon and beyond. I will cover the latest discoveries in volatile stability, distribution, sources, and transport. Due to the Moon's monotonic decrease in spin axis obliquity, perennially shadowed regions near the poles have shrunk with time. Thus, comparing the observations against theoretical models affords the opportunity to constrain the history of ice accumulation in these regions. These constraints offer both fundamental insights and practical value. -
Date:27MondayOctober 2025Colloquia
Phonons: Their role in thermodynamics, and other reasons why they are interesting
More information Time 11:00 - 12:15Location Gerhard M.J. Schmidt Lecture HallLecturer Prof. Brent Fultz
Brent Fultz is the Rawn Professor of Materials Science and Applied Physics at the California Institute of Technology. He received his B.Sc. from MIT, and his Ph.D. from U. C. Berkeley. After a position at Lawrence Berkeley National Laboratory, Fultz started at Caltech in 1985. Fultz won the 2016 William Hume-Rothery Award of TMS, and was elected Fellow of the Neutron Scattering Society of America in 2016, Fellow of the American Physical Society in 2017, and Fellow of TMS in 2018. Fultz has authored or co-authored approximately 400 publications, including graduate-level textbooks Transmission Electron Microscopy and Diffractometry of Materials (4th Ed with Jim Howe), and Phase Transitions in Materials (2nd Ed).Homepage Abstract Show full text abstract about At modest temperatures, and especially above 1000 K, most of...» At modest temperatures, and especially above 1000 K, most of the entropy of solids comes from atomic vibrations. In 1907, Einstein proposed a quantized harmonic oscillator as a starting point. Today, normal modes of crystal vibrations are quantized, and the quanta are called "phonons." Phonons in crystals were first measured by inelastic neutron scattering in the 1950s. Using inelastic neutron scattering and electronic structure calculations, we have compared the entropy from phonons to the entropy obtained by calorimetry. In short, excellent agreement is found when all known sources of entropy are included, such as from electrons, spins, and interactions between phonons, electrons, and spins. Interactions that cause only small departures from harmonic behavior are treated with many-body perturbation theory. Neutron scattering revealed new anharmonic features in the phonon spectra of NaBr and Cu2O. These anharmonic features, such as phonon frequency doubling and intermodulation sidebands, can be understood with molecular dynamics or methods based on the Heisenberg-Langevin equation or the Schrödinger-Langevin equation. For Cu2O and ZnO, we found diffuse inelastic intensity (DII) at high energies, well above the phonon bands. This DII originates from brief anharmonic interactions between atoms as they vibrate, and is a new probe of anharmonic interatomic potentials. -
Date:27MondayOctober 2025Lecture
Superalgebra Theory and Representations Seminar
More information Time 13:00 - 14:00Title Stable Representations of Symmetric Groups on Polynomials, and Actions on Eventually Symmetric FunctionsLocation Jacob Ziskind Building
Room 155 - חדר 155Lecturer Shaul Zemel
HUJIOrganizer Department of Computer Science and Applied MathematicsContact Abstract Show full text abstract about Abstract: Haglund, Rhoades, and Shimozono generalized the co...» Abstract: Haglund, Rhoades, and Shimozono generalized the co-invariant quotient $R_n$ of Borel, as a representation of the symmetric group, to quotients $R_{n,k}$. Gillespie and Rhoades constructed higher Specht bases for these quotients, using the higher Specht polynomials of Ariki, Terasoma, and Yamada. We show how to decompose these quotients into ones that sit inside natural stable representations, which have explicit limits as representations of infinite symmetric groups on eventually symmetric functions. -
Date:27MondayOctober 2025Lecture
Biochemical remodeling of phytoplankton cell composition under climate change
More information Time 13:00 - 14:00Location Stone Administration Building
Zacks HallLecturer Shlomit Sharoni Organizer Department of Earth and Planetary SciencesAbstract Show full text abstract about The macromolecular composition of phytoplankton shapes the n...» The macromolecular composition of phytoplankton shapes the nutrition available to marine ecosystems and regulates the interwoven global cycles of carbon and nutrients. Despite these fundamental roles, there are currently no mechanistic, predictive models of the global distribution of phytoplankton macromolecular composition and its variation in response to environmental changes. Here, we simulate the cellular allocation of proteins, carbohydrates, and lipids in a global ocean model in the present day and over the 21st century under a climate change scenario. Our simulations indicate systematic spatial variations in phytoplankton macromolecular composition, which are consistent with available observations. Our model simulations further suggest variable geographic responses to climate change. Specifically, phytoplankton in polar regions are projected to have more carbohydrates and lipids at the expense of proteins, due to warming and relief from light limitation. We compiled and analyzed in situ macromolecular measurements of polar phytoplankton spanning several decades, finding trends consistent with our model predictions. Our findings indicate that changes in the macromolecular composition of phytoplankton can serve as indicators of shifting environmental conditions. Such changes will reshape the nutritional landscape at the base of the marine food web and alter global biogeochemical cycles. -
Date:28TuesdayOctober 2025Lecture
EPS AI discussion: Floods and Droughts Forecasting
More information Time 11:30 - 12:30Location Stone Administration Building
Zacks HallOrganizer Department of Earth and Planetary SciencesAbstract Show full text abstract about Natural disasters like floods and droughts pose significant ...» Natural disasters like floods and droughts pose significant threats to communities worldwide, making accurate and timely forecasting essential for mitigation and response. This presentation will delve into the development and implementation of AI-based models for natural disaster forecasting, with a specific focus on floods and droughts.We will explore Google's machine learning-driven hydrologic model for riverine flood forecasting, which has been operational for several years and provides predictions up to seven days in advance. Additionally, we will discuss a flash flood model currently in development. The talk will also cover a machine learning model for drought forecasting, which provides predictions at a three-month lead time.A key focus of this discussion will be the robust evaluation of these models. We'll examine various methods for assessing their skill, including comparisons against historical data, satellite observations, and established performance benchmarks across different regions. This presentation will highlight how advanced AI can enhance our ability to predict and prepare for natural disasters, ultimately supporting global resilience efforts. -
Date:29WednesdayOctober 2025Lecture
Machine Learning and Statistics Seminar
More information Time 11:15 - 12:15Title Do Trained AI Models Leak Information About Their Training Data?Location Jacob Ziskind Building
Lecture Hall - Room 1 - אולם הרצאות חדר 1Lecturer Itay Safran
BGUOrganizer Department of Computer Science and Applied MathematicsContact Abstract Show full text abstract about Artificial neural networks have driven remarkable advances i...» Artificial neural networks have driven remarkable advances in AI in recent years, but their use also raises serious privacy and security concerns. Recent studies have shown that, under certain conditions, parts of the training data can be reconstructed directly from the model parameters, posing significant risks to privacy in sensitive domains such as medicine, and challenging the safe deployment of these models more broadly.
In this talk, I will survey two of my recent works that aim to uncover the theoretical foundations of this phenomenon, shedding light on the extent to which trained models may reveal information about their training data. In particular, we will show - both empirically and theoretically - that reconstructing the training data requires additional prior knowledge, and that trained models do not necessarily leak information.
Based on joint work with Guy Smorodinsky, Gal Vardi, Yehonatan Rafael, and Ofir Lindenbaum. -
Date:30ThursdayOctober 2025Lecture
“ADVANCING IN EVs Characterization”
More information Time 08:30 - 11:50Location https://mstudio.co.il/tetrasense-webinarLecturer Julie Chen, Horiba, Dr. Michaela Laupheimer, DataPhysics Contact -
Date:30ThursdayOctober 2025Lecture
Prof. Liad Mudrik talk
More information Time 10:00 - 11:00Title Testing theories of consciousness: a case study for scientific barriers and progressLocation Belfer
Botnar Hall -
Date:30ThursdayOctober 2025Colloquia
Ants, Particles, and Puzzles
More information Time 11:15 - 12:30Title Physics ColloquiumLocation Physics Weissman AuditoriumLecturer Ofer Feinerman Contact Abstract Show full text abstract about De-Gennes’s “ant-in-a-labyrinth” problem reminds us that phy...» De-Gennes’s “ant-in-a-labyrinth” problem reminds us that physicists have an affinity for ants. Like particles, ants come in large groups and interact locally among themselves and with the environment. However, there are large discrepancies between an ensemble of particles and a colony of ants. While groups of particles are governed solely by microscopic laws and large-scale symmetries, ants appear able to sidestep these constraints to display a collective will aimed at macroscopic goals. In doing so, they often exhibit behaviors that resemble intelligence and problem-solving. I will present three puzzle-like configurations that quantify performance and expose limits: the ant-in-a-labyrinth puzzle, the piano-movers problem, and three-dimensional leaf-nest construction. For each, we will compare data to physics-inspired null models to locate where ants deviate from particle baselines and to identify the minimal individual-level ingredients that support an animate, cognitive colony. -
Date:30ThursdayOctober 2025Lecture
From suppressive to active—rewiring the head and neck cancer microenvironment for durable checkpoint response
More information Time 14:00 - 15:00Location Candiotty
AuditoriumLecturer Prof. Moshe Elkabets, Ph.D Organizer Dwek Institute for Cancer Therapy Research -
Date:02SundayNovember 2025Lecture
Not So Clear: The Role of Near-Cloud Skies in Earth’s Radiation Budget and Climate.
More information Time 11:00 - 12:00Location Stone Administration Building
Zacks HallLecturer Eshkol Eytan Liebskind Organizer Department of Earth and Planetary SciencesAbstract Show full text abstract about Clouds are among the most influential components of Earth’s ...» Clouds are among the most influential components of Earth’s radiation budget, modulating radiative transfer across the electromagnetic spectrum. As a result, even processes that contribute relatively weak radiative effects, such as those occurring in clouds’ surroundings, can be substantial compared to clear-sky conditions and therefore important to Earth’s energy budget and the climate it sustains. Over the past two decades, studies have highlighted several mechanisms contributing to the radiative signatures around clouds, including three-dimensional radiative transfer, enhanced aerosol humidification, and subvisible cloud features. Recent work by Eytan et al. (2025) has provided the first quantification of the top-of-atmosphere (TOA) radiative impact of these near-cloud regions. Their findings suggest a shortwave effect of ~9 W/m² over the ocean in the local afternoon, implying that clouds indirectly amplify the aerosol direct radiative effect. In the longwave, a mean effect of ~1 W/m² corresponds to the radiative forcing of an additional ~90 ppm of CO₂, highlighting these regions' climate relevance. In this talk, I will introduce a new framework for partitioning the sky into three radiative categories: cloudy, pure clear-sky, and cloud-influenced clear-sky. I will demonstrate how this refined classification reveals near-cloud regions' hidden but crucial contribution to all-sky radiative fluxes. We will explore how these contributions vary with cloud type, spatial cloud patterns, and background aerosol loading. By explicitly accounting for these previously overlooked regions, this new paradigm opens the door to a more comprehensive understanding of the processes involved in the cloud’s role in Earth’s energy budget and in aerosol–cloud interactions, which are two of the largest sources of uncertainty in climate projections according to the latest IPCC report. Ultimately, this work aims to establish a more unified approach to treating the atmosphere, from dry aerosols to clouds, and to deepen our understanding of how clouds and their surrounding environments influence Earth’s climate. In doing so, it offers a promising path toward reducing one of the most persistent uncertainties in climate change projections.