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יולי 01, 2016
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Date:22חמישיינואר 2026סימפוזיונים
Physics Colloquium
More information שעה 11:15 - 12:30כותרת Atomic tweezer arrays coupled to lightמיקום Physics Weissman Auditoriumמרצה Prof. Julian Leonard מארגן המחלקה לפיזיקה של חומר מעובהתקציר Show full text abstract about Recent years have seen a growing interest in developing cohe...» Recent years have seen a growing interest in developing coherent atom-light interfaces due to their relevance for cavity QED and quantum networks. The focus has been on systems with collectively coupled ensembles, and with strongly coupled single atoms. However, combining strong atom-light coupling with single-atom control remains challenging. We report on experiments with an atomic tweezer array that is strongly coupled to an optical fiber cavity. The setup integrates three ingredients: single atom control for arbitrary quantum logical operations, a tweezer-cavity system for cavity QED, and a direct fiber interface for real-time measurements and networking. This opens a path for programmable interactions within an atomic tweezer array, for non-destructive readout protocols, and for implementing quantum network protocols. -
Date:22חמישיינואר 2026הרצאה
Vision and AI
More information שעה 12:15 - 13:15כותרת Addressing the Unexpected - Anomaly Detection and AI Safetyמיקום בניין יעקב זיסקינד
Room 1 - 1 חדרמרצה Niv Cohen
NYUמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about While AI models are becoming an ever-increasing part of our ...» While AI models are becoming an ever-increasing part of our lives, our understanding of their behavior in unexpected situations is drifting even further out of reach. This gap poses significant risks to users, model owners, and society at large.
In the first part of the talk, I will overview my research on detecting unexpected phenomena with and within deep learning models. Specifically, detecting (i) anomalous samples, (ii) unexpected model behavior, and (iii) unexpected security threats. In the second part of the talk, I will dive into my recent research on a specific type of unexpected security threat: attacks on image watermarks. I will review such attacks and present my recent work toward addressing them. I will conclude with a discussion of future research directions.
Bio:
Niv Cohen is a postdoctoral researcher at the school of Computer Science & Engineering at New York University. He received his Ph.D. in Computer Science from the Hebrew University in 2024. His research interests include representation learning, computer vision, and AI safety. He is a recipient of the VATAT Scholarship for Outstanding Postdoctoral Fellows in Data Science and the 2024 Blavatnik Prize for Outstanding Israeli Doctoral Students in Computer Science. -
Date:22חמישיינואר 2026הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת Local laws of sample covariance matrices beyond the separable caseמיקום בניין יעקב זיסקינד
Room 155 - חדר 155מרצה Elliot Paquette
McGillמארגן המחלקה למתמטיקהצרו קשר תקציר Show full text abstract about Sample covariance matrices are among the most fundamental ob...» Sample covariance matrices are among the most fundamental objects in random matrix theory and statistics. In this talk, I'll discuss recent work identifying the assumptions on random vectors that allow local laws to hold for their sample covariance matrices — these are matrices with iid rows sampled from a fixed distribution.
A local law says that the empirical eigenvalue distribution converges to its deterministic limit—in this case the deformed Marchenko–Pastur law—not just globally, but on short intervals which still contain a power of dimension many eigenvalues. This fine-grained control is essential for many applications, including universality for the local eigenvalue distributions.
The classical approach assumes the data vectors take a separable form g=Xw where w has independent entries—but this excludes many natural examples. We ask: what assumptions on g are really needed? It turns out that concentration of quadratic forms suffices for an optimal averaged local law, while a structural condition on cumulant tensors—interpolating between independence and generic dependence—suffices for the full anisotropic local law.
I'll discuss key examples where our assumptions can be verified: sign-invariant vectors, the 'random features model’ from machine learning, and some examples of spin-glass type. I'll also give a short overview of the proof, which introduces a tensor network framework for fluctuation averaging in the presence of higher-order cumulant structure.
Joint with Jack Ma (Yale), Zhou Fan (Yale), Zhichao Wang (Berkeley) -
Date:27שלישיינואר 2026הרצאה
Red vs. White: Failure in Red Blood Cell Recycling Drives T Cell Aging trajectory
More information שעה 10:00 - 11:00מיקום Benoziyo Bldg. for Biological Sciences - Auditorium - Floor 1מרצה Prof. Noga-harel צרו קשר -
Date:27שלישיינואר 2026הרצאה
Vesiculab: Advancing the Extracellular Vesicle Workflow
More information שעה 11:00 - 12:30מיקום https://events.teams.microsoft.com/event/5dff50bf-ce1e-45b2-a878-fe3a396375be@3f0f7402-6ba8-43ab-9da8-356d1657dd55מארגן המחלקה לתשתיות מחקר מדעי החייםצרו קשר תקציר Show full text abstract about Dear Colleagues,You are cordially invited to a scientific an...» Dear Colleagues,You are cordially invited to a scientific and application focused webinar entitled Vesiculab: Advancing the Extracellular Vesicle Workflow. This webinar will present state of the art approaches for improving reproducibility, analytical rigor, and translational relevance in extracellular vesicle research, with an emphasis on practical solutions for everyday laboratory workflows. The presentation will be delivered by Dr Dimitri Aubert, PhD, CEO of Vesiculab. Scientific topics include:Fast size exclusion chromatography for efficient EV isolation,Total EV staining strategies for in vitro and in vivo studies,Optimized EV sample preparation for analytical and functional assays,Calibration principles for nanoflow cytometry and fluorescence NTA,Best practices for EV handling, storage, and preservation. -
Date:27שלישיינואר 2026הרצאה
Decoding the Molecular Logic of Ciliary Organization and Stability
More information שעה 11:15 - 12:15מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Dr. Ron Orbach מארגן המחלקה לביולוגיה מבנית וכימית -
Date:27שלישיינואר 2026הרצאה
Weizmann Ornithology monthly lecture
More information שעה 14:10 - 15:30כותרת To be announcedמיקום Benoziyo
591Cמרצה Prof. Orr Spiegel מארגן המחלקה למדעי הצמח והסביבהצרו קשר תקציר Show full text abstract about Prof. Orr Spiegel from TAU studies animal movement ...» Prof. Orr Spiegel from TAU studies animal movement -
Date:28רביעיינואר 2026הרצאה
iSCAR Breakfast Seminar
More information שעה 09:00 - 10:00כותרת Cellular and Molecular Trajectories of Age-associated Lymphocytes and Their Impact on Aging and Cognitive Declineמיקום בניין ע"ש מקס ולילאן קנדיוטי
Auditoriumמרצה Prof. Alon Monsonego מארגן המחלקה לאימונולוגיה ורגנרציה ביולוגיתצרו קשר -
Date:28רביעיינואר 2026סימפוזיונים
Collective states in molecular lattices: A novel route for tailored 2D and 1D materials
More information שעה 11:00 - 12:15מיקום בניין המנהלה ע"ש סטון
Zacks Hallמרצה Prof. Stephanie Reich דף בית תקציר Show full text abstract about Two-dimensional materials are atomically thin crystals with ...» Two-dimensional materials are atomically thin crystals with a huge variety of physico-chemical properties. By stacking such materials into heterostructures we can combine the electrical, optical, and vibrational excitations of different materials with atomic control over their interfaces. Despite the great selection of 2D materials existing today, we desire novel routes for their preparation in addition to cleaving them from layered bulk parent compounds.In this talk I discuss a concept for novel 2D materials from organic molecules: Growing molecules into well-defined 2D and 1D lattices. We prepared 2D lattices of flat aromatic molecules using hexagonal boron nitride and graphene as atomically smooth substrates. The molecules are well separated in space and oriented side-by-side so that electrons and vibrations are confined to the individual building blocks. However, the interaction between their optical and vibrational transition dipole moments gives rise to collective states that can propagate inside the lattices. One-dimensional molecular lattices are grown by filling carbon- and boron-nitride nanotubes leading to giant J aggregates inside the tubes. We discuss how to use molecular lattices for advance molecular-2D-material heterostructures and how to manipulate their emergent optical excitations. -
Date:28רביעיינואר 2026הרצאה
Innovatin Flash Talks
More information שעה 11:00 - 13:00כותרת In memory of Prof. Haim Gartyמיקום Schmidt Auditoriumמרצה Tamir Klein, Ronny Neumann, Boris Rybtchinski, Leeat Keren
Join us for Bina Flash Talks, an exciting event where Weizmann scientists share impactful glimpses into their cutting-edge translational research, and be part of a growing innovation and applied science community in the Weizmann Institute.צרו קשר -
Date:29חמישיינואר 2026כנסים
Israel Algorithmic Game Theory Day
More information שעה 08:00 - 08:00כותרת Israel Algorithmic Game Theory Dayיושב ראש Shahar Dobzinskiצרו קשר -
Date:29חמישיינואר 2026הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת Variations of the Hardy Z-function and Dyson Brownian Motionמיקום בניין יעקב זיסקינד
Room 155 - חדר 155מרצה Yochay Jerby
HITמארגן המחלקה למתמטיקהצרו קשר תקציר Show full text abstract about In this talk we present a new approximate functional equatio...» In this talk we present a new approximate functional equation for the Hardy Z function with exponentially decaying error. This formula makes it possible to define a variation space for Z(t) consisting of a family of functions Z_N(t,a) with parameters a = (a1, …, aN) on a fixed window [2n, 2N + 2]. In this space the original Hardy function Z(t) is extremely well approximated in the window by the special choice a = (1, …, 1). Within this variation space we single out a natural domain RH_N in which all functions Z_N(t,a) have only real zeros in the window. We show that RH_N has striking connections with random matrix theory. In particular a Brownian motion with Skorokhod type reflection at the boundary of RH_N induces a Dyson Brownian motion in the \beta=2 case, and modern universality results then yield the expected GUE local statistics for elements of RH_N. No prior knowledge in number theory would be required. -
Date:29חמישיינואר 2026הרצאה
Proteolysis-driven immunity: New insights into the role of proteasome-cleaved peptides in adaptive
More information שעה 14:00 - 15:00מיקום בניין ע"ש מקס ולילאן קנדיוטי
Auditoriumמרצה Prof. Yifat Merbl מארגן המכון לחקר הטיפול בסרטן עש דואק -
Date:01ראשוןפברואר 2026הרצאה
A Reverse Engineering Approach to Diagenesis: Bone – a Case Study
More information שעה 11:00 - 12:00מיקום בניין המנהלה ע"ש סטון
Zacks Hallמרצה Prof. Steve Weiner מארגן המחלקה למדעי כדור הארץ וכוכבי הלכתתקציר Show full text abstract about Many fossil materials have embedded signals that enable aspe...» Many fossil materials have embedded signals that enable aspects of the past to be reconstructed. These signals however can be altered or lost due to processes that take place once the fossil material is buried (diagenesis). Thus extracting reliable signals can be a major challenge. Here I present a new approach to better understanding diagenesis that I apply to bone. -
Date:01ראשוןפברואר 2026הרצאה
The Clore Center for Biological Physics
More information שעה 13:15 - 14:30כותרת Self-organized shape changes in elastic active gelsמיקום ספרית הפיסיקה על שם נלה וליאון בנוזיומרצה Prof. Kinjal Dasbiswas
lunch at 12:45צרו קשר תקציר Show full text abstract about Living systems utilize fundamental physics in the form of me...» Living systems utilize fundamental physics in the form of mechanical forces and geometric cues to move and change shape. A central question motivating our research is: how does biological matter utilize mechanical forces to form ordered structures and change shape? As a prototype of active biological materials capable of self-organized shape change, we explain experimental findings on cytoskeletal gel extracts by our collaborators at the Bernheim laboratory. Despite having identical composition of the biopolymer actin, molecular motor myosin and the crosslinker fascin, these gels contract and buckle into different shapes depending on the initial gel aspect ratio: thinner gels tend to wrinkle, while thicker gels tend to form domes. By incorporating motor-generated active stresses, alignment of active fibers, and stress-dependent myosin binding kinetics into a network-fluid (poroelastic) model, we qualitatively capture the observed trends in gel contraction dynamics measured using particle image velocimetry (PIV). We then show how a geometric elastic model for thin sheets can relate the 3D buckled shapes to strain rates predicted by the poroelastic model. Our findings have implications for shape changes during tissue morphogenesis and bio-inspired soft materials design. -
Date:02שניפברואר 202604רביעיפברואר 2026אירועים אקדמיים
Winter STAR Workshop 2026 in honor of Lenny Makar-Limanov's 80th birthday
More information שעה כל היוםמיקום בניין יעקב זיסקינד
Room 1, 155דף בית -
Date:03שלישיפברואר 2026אירועים אקדמיים
Scientific Council Meeting - Steering 2026
More information שעה 10:00 - 12:00מיקום מרכז כנסים על-שם דויד לופאטי
KIMELצרו קשר -
Date:03שלישיפברואר 2026הרצאה
Deep Learning-Based Detection of Sinkhole-Induced Land Subsidence Along the Dead Sea
More information שעה 11:30 - 12:30מיקום בניין המנהלה ע"ש סטון
Zacks Hallמרצה Gali Dekel מארגן המחלקה למדעי כדור הארץ וכוכבי הלכתתקציר Show full text abstract about The Dead Sea region has seen a rapid increase in sinkhole fo...» The Dead Sea region has seen a rapid increase in sinkhole formation, posing serious environmental and infrastructure risks. The Geological Survey of Israel monitors sinkhole-related land subsidence along the western shore using InSAR, but current detection relies on manual interpretation of interferometric phase data, which is time-consuming and error-prone.In this talk, I present an AI-based Deep Learning framework for automated detection of sinkhole-related subsidence from InSAR data. The model learns interferometric phase deformation patterns, rather than visual features, and is trained using expert-labeled subsidence maps from years of operational monitoring. I demonstrate the model’s ability to generalize across spatial and temporal settings using multiple evaluation schemes and object-level performance metrics. Results show effective detection of subsidence areas, promising generalization to unseen regions, and the ability to reconstruct large-scale subsidence trends from patch-level predictions. -
Date:03שלישיפברואר 2026אירועים אקדמיים
Seminar - What makes a life significant
More information שעה 12:30 - 13:30מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Prof. Shahar Arzy תקציר Show full text abstract about Ourlivesareshapedbymeaningfulevents,relationships,andplaces—...» Ourlivesareshapedbymeaningfulevents,relationships,andplaces—elementsthatthataremakingthemworthytolive.Butwhatisthecognitivearchitectureunderlyingthiselusiveyetfoundationalconcept?Howcansignificancebedefined,measured,andmodeledwithinthehumanmind?Inthistalk,Iwillexplorethecognitiveconstructofsignificanceacrossthreecoreexperientialdimensions:time,space,andsocialrelationships.Iwillexaminewhethersignificanceisunderpinnedbydistinctcognitiveandcomputationalprinciples,howitmanifestsacrossdifferentpopulations,andwhatroleitplaysinbothhealthycognitionandvariousneuropsychiatricconditions.Drawingonbehavioralstudies,neuroimagingdata,computationalmodeling,andclinicalobservations,Iwilloutlineamultidimensionalframeworkforunderstandingsignificanceasaunifyingconstruct—onethatintegratesmemory,affect,andself-representation.Ultimately,thisinquiryaimstoshedlightonhowthebrainencodeswhatmakesalifesignificant. -
Date:04רביעיפברואר 2026הרצאה
Machine Learning and Statistics Seminar
More information שעה 11:15 - 12:30כותרת Fundamentals of Aligning General-Purpose AIמיקום גולדסמית-מתמטיקה
Room 108 - חדר 108מרצה Noam Razin
Princetonמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about The field of artificial intelligence (AI) is undergoing a pa...» The field of artificial intelligence (AI) is undergoing a paradigm shift, moving from neural networks trained for narrowly defined tasks (e.g., image classification and machine translation) to general-purpose models such as ChatGPT. These models are trained at unprecedented scales to perform a wide range of tasks, from providing travel recommendations to solving Olympiad-level math problems. As they are increasingly adopted in society, a central challenge is to ensure the alignment of general-purpose models with human preferences. In this talk, I will present a series of works that reveal fundamental pitfalls in existing alignment methods. In particular, I will show that they can: (1) suffer from a flat objective landscape that hinders optimization, and (2) fail to reliably increase the likelihood of generating preferred outputs, sometimes even causing the model to generate outputs with an opposite meaning. Beyond characterizing these pitfalls, our theory provides quantitative measures for identifying when they occur, suggests preventative guidelines, and has led to the development of new data selection and alignment algorithms, validated at large scale in real-world settings. Our contributions address both efficiency challenges and safety risks that may arise in the alignment process. I will conclude with an outlook on future directions, toward building a practical theory in the age of general-purpose AI.
Short bio:
Noam Razin is a Postdoctoral Fellow at Princeton Language and Intelligence, Princeton University. His research focuses on the fundamentals of artificial intelligence (AI). By combining mathematical analyses with systematic experimentation, he aims to develop theories that shed light on how modern AI works, identify potential failures, and yield principled methods for improving efficiency, reliability, and performance.
Noam earned his PhD in Computer Science at Tel Aviv University, where he was advised by Nadav Cohen. Prior to that, he obtained a BSc in Computer Science (summa cum laude) at The Hebrew University of Jerusalem under the Amirim honors program. For his research, Noam received several honors and awards, including the Zuckerman Postdoctoral Scholarship, the Israeli Council for Higher Education (VATAT) Postdoctoral Scholarship, the Apple Scholars in AI/ML PhD fellowship, the Tel Aviv University Center for AI and Data Science excellence fellowship, and the Deutsch Prize for PhD candidates.