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תוצאות חיפוש לאירועים
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Date:18חמישידצמבר 2025סימפוזיונים
Physics Colloquium
More information שעה 11:15 - 12:30כותרת The quest for the Nonlinear Breit-Wheeler Pair Production Measurementמיקום Weissman Auditoriumמרצה Dr. Noam Tal-Hod מארגן המחלקה לפיזיקה של מערכות מורכבותצרו קשר תקציר Show full text abstract about The nonlinear Breit-Wheeler process — electron-positron pair...» The nonlinear Breit-Wheeler process — electron-positron pair creation from high-energy photons in an intense electromagnetic field — is one of the most fundamental yet experimentally elusive predictions of strong-field quantum electrodynamics. Reaching the regime where this process becomes measurable requires not only extreme light-matter interaction conditions, but also detecting technologies capable of resolving rare signatures amid complex backgrounds. Beyond its intrinsic importance for testing quantum electrodynamics in the strongest fields accessible on Earth, this process is also relevant for understanding environments such as magnetars, where similarly intense fields and abundant pair production naturally occur. I will present the ongoing international effort to realize a definitive measurement of the process and highlight how advanced particle-tracking methods, commonly used in High-Energy Physics experiments, are contributing to this goal. I will discuss the running E320 experiment at SLAC, where our tracking detector is used to characterize collisions of 10 GeV electrons and 10 TW laser pulses in unprecedented detail, and give an outlook on the upcoming LUXE experiment at DESY, which aims to operate at the intensity frontier. I will also describe new opportunities at high-power multi-PW laser facilities — including our recent all-laser campaigns at ELI-NP and APOLLON — that open complementary routes to probe strong-field physics in complementary parameter spaces. Together, these efforts bring accelerator-based, laser-based and particle physics approaches closer to a definitive measurement of the nonlinear Breit-Wheeler process. -
Date:18חמישידצמבר 2025הרצאה
Vision and AI
More information שעה 12:15 - 13:15כותרת Bridging Generative Models and Physical Priors for 3D Reconstructionמיקום בניין יעקב זיסקינד
Lecture Hall - Room 1 - אולם הרצאות חדר 1מרצה Dor Verbin
Google DeepMindמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about Recent years have brought remarkable progress in 3D vision p...» Recent years have brought remarkable progress in 3D vision problems like view synthesis and inverse rendering. Despite these advancements, substantial challenges remain in material and lighting decomposition, geometry estimation, and view synthesis—particularly when handling a wide range of materials. In this talk, I will outline a few of these problems and present solutions that combine the principled structure and efficiency of physics-based rendering with the strong priors encoded in generative image and video models.
Bio:
Dor Verbin is a research scientist at Google DeepMind in San Francisco, where he works on computer vision, computer graphics, and machine learning. He received his Ph.D. in computer science from Harvard University. Previously, he received a double B.Sc. in physics and in electrical engineering from Tel Aviv University, after which he worked as a researcher at Camerai, developing real-time computer vision algorithms for mobile devices. He received the Best Student Paper Honorable Mention award at CVPR 2022. -
Date:18חמישידצמבר 2025הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת Metric smoothnessמיקום בניין יעקב זיסקינד
Room 155 - חדר 155מרצה Assaf Naor
Princetonמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about A foremost longstanding open problem in the Ribe program is ...» A foremost longstanding open problem in the Ribe program is to find a purely metric reformulation of the Banach space property of having an equivalent norm whose modulus of uniform smoothness has a given power type. In this talk we will present a solution of this problem. All of the relevant background and concepts will be explained, and no prerequisites will be assumed beyond rudimentary undergraduate functional analysis and probability. Based on joint work with Alexandros Eskenazis. -
Date:21ראשוןדצמבר 202522שנידצמבר 2025אירועים אקדמיים
Hanukkah STAR - workshop 2025
More information שעה כל היוםמיקום בניין יעקב זיסקינד
Room 1דף בית -
Date:22שנידצמבר 2025הרצאה
Seminar for PhD thesis Defense by Yahel Cohen
More information שעה 11:00 - 12:00כותרת “miRNA isoforms as biomarkers for amyotrophic lateral sclerosis prognosis”מיקום Benoziyo Biochemistry auditorium room 191c-new -
Date:22שנידצמבר 2025הרצאה
Foundations of Computer Science Seminar
More information שעה 11:15 - 12:15כותרת Corners and Communication Complexityמיקום בניין יעקב זיסקינד
Lecture Hall - Room 1 - אולם הרצאות חדר 1מרצה Shachar Lovett
UCSDמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about The corners problem is a classical problem in additive combi...» The corners problem is a classical problem in additive combinatorics. A corner is a triple of points (x,y), (x+d,y), (x,y+d). It can be viewed as a 2-dimensional analog of a (one-dimensional) 3-term arithmetic progression. An old question of Ajtai and Szemeredi is: how many points can there be in the n x n integer grid without containing a corner? They proved a qualitative bound of o(n^2), but no effective quantitative bounds.
This question has an equivalent description in the language of communication complexity. Given 3 players with inputs x,y,z which are integers in the range 1 to n, what is the most efficient Number-On-Forehead (NOF) deterministic protocol to check if they sum to n. This connection was first observed in the seminal paper of Chandra, Furst and Lipton that introduced the NOF model back in 1983.
In the language of communication complexity, the trivial protocol sends log(n) bits, but there is a better NOF protocol (based on constructions in additive combinatorics) which only sends (log n)^{1/2} bits. However, the best lower bound until our work was double exponentially far off - of the order of log log log n. In this work, we close this gap, and prove a lower bound of (log n)^c for some absolute constant c.
The work is based on combining the high-level approach of Shkredov, who obtained the previous lower bound, which was based on Fourier analysis; with the recent breakthrough of Kelley and Meka on the 3-term arithmetic progression problem, and the ensuing developments. The main message is that "spreadness" based techniques (a notion that I will explain in the talk) give significantly better quantitative bounds compared to classical Fourier analysis.
Joint work with Michael Jaber, Yang P. Liu, Anthony Ostuni and Mehtaab Sawhney
Paper will appear in FOCS 2025
https://arxiv.org/abs/2504.07006 -
Date:23שלישידצמבר 2025הרצאה
Climate modeling in the era of AI
More information שעה 11:30 - 12:30מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Laure Zanna מארגן המחלקה למדעי כדור הארץ וכוכבי הלכתתקציר Show full text abstract about While AI has been disrupting conventional weatherforecasting...» While AI has been disrupting conventional weatherforecasting, we are only beginning to witness theimpact of AI on long-term climate simulations. Thefidelity and reliability of climate models have beenlimited by computing capabilities. These limitationslead to inaccurate representations of key processessuch as convection, cloud, or mixing or restrict theensemble size of climate predictions. Therefore, theseissues are a significant hurdle in enhancing climatesimulations and their predictions.Here, I will discuss a new generation of climatemodels with AI representations of unresolved oceanphysics, learned from high-fidelity simulations, andtheir impact on reducing biases in climatesimulations. The simulations are performed withoperational ocean model components. I will furtherdemonstrate the potential of AI to accelerate climatepredictions and increase their reliability through thegeneration of fully AI-driven emulators, which canreproduce decades of climate model output in secondswith high accuracy -
Date:24רביעידצמבר 2025הרצאה
2025-2026 Spotlight on Science Seminar Series - Dr. Jacques Pienaar (Department of Physics Core Facilities)
More information שעה 12:30 - 14:00כותרת Illuminating the Dark: The Search for Dark Matterמיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Jacques Pienaar צרו קשר תקציר Show full text abstract about Cosmological observations suggest that about 85% of the univ...» Cosmological observations suggest that about 85% of the universe’s mass is made up of matter that neither emits nor absorbs light. The existence of this mysterious component—dark matter—is inferred from its gravitational effects and is theorized to interact only very weakly with ordinary matter. The XENON detector, located deep underground in Italy’s Gran Sasso Laboratory, employs a large reservoir of ultrapure liquid xenon to search for the faint signals produced when a dark matter particle collides with a xenon atom. By suppressing background radiation and using highly sensitive sensors, the experiment strives to observe these extremely rare events. Although dark matter remains undetected, XENON continues to search while also shaping future searches. -
Date:25חמישידצמבר 2025סימפוזיונים
Special Physics Colloquium
More information שעה 12:30 - 14:00כותרת Is there turbulence in the deep ocean?מיקום Physics Weissman Auditoriumתקציר Show full text abstract about Short answer: Yes. One might imagine the deep ocean as a dar...» Short answer: Yes. One might imagine the deep ocean as a dark, silent world, largely untouched by the restless motion seen at the surface, where winds raise waves and storms stir the sea. However, just as surface waves exist along the sharp density interface between the ocean and the atmosphere, internal waves are supported by smooth vertical gradients in density far beneath the ocean's surface. The turbulence of these waves plays a central role in ocean mixing and circulation.I will introduce surface and internal waves as examples of dispersive wave systems, and explain how their long-time dynamics can be described using the theory of weak wave turbulence. I will then present our recent work, which addresses a long-standing problem in geophysical fluid dynamics: deriving the observed broadband oceanic spectrum of internal waves, known as the Garrett-Munk spectrum, directly from the governing equations.The central message of the talk is that the weak-rotation limit is singular, and that it is precisely this singular limit that allows the oceanic spectrum to emerge from first principles.No background in geophysical fluid dynamics will be assumed. -
Date:25חמישידצמבר 2025הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת Statistical properties of Markov shiftsמיקום בניין יעקב זיסקינד
Room 155 - חדר 155מרצה Yeor Hafouta
Floridaמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about The central limit theorem (CLT) and related results for stat...» The central limit theorem (CLT) and related results for stationary weakly dependent sequences of random variables have been extensively studied in the past century, starting from a pioneering work of Berenstien (1927). However, in many physical phenomena there are external forces, measurement errors and unknown variables (e.g. storms, the observer effect, the uncertainty principle etc.). This means that the local laws of physics depend on time, and it leads us to studying non-stationary sequences.
The asymptotic behaviour of non-stationary sequences have been studied extensively in the past decades, but it is still developing compared with the theory of stationary processes. In this talk we will focus on inhomogeneous Markov chains. For sufficiently well contracting Markov chains the CLT was first proven by Dobrushin (1956). Since then many results were proven for stationary chains. In 2021 Dolgopyat and Sarig proved local central limit theorems (LCLT) for inhomogeneous Markov chains. In 2022 Dolgopyat and H proved optimal CLT rates in Dobrusin's CLT. These results closed a big gap in literature concerning the non-stationary case.
An open problem raised by Dolgopyat and Sarig in their 2021 book concerns limit theorems for Markov shifts, that is when the underlying sequence of functions that forms the partial sums depend on the entire path of the chain. Two circumstances where such dependence arises are products of random matrices and random iterated functions, and there are many other instances when the functionals depend on the entire path.
In this talk we will present our solution to the above problem. More precisely, we prove CLT, optimal CLT rates and LCLT for a wide class of sufficiently well mixing Markov chains and functionals with infinite memory. Even though the inhomogeneous case is more complicated, our results seem to be new already for stationary chains. -
Date:25חמישידצמבר 2025הרצאה
Apoptotic Pathways as Molecular Switches of Tumor Initiation and Reversion
More information שעה 14:00 - 15:00מיקום Candiotty
Auditoriumמרצה Prof. Sarit Larisch מארגן המכון לחקר הטיפול בסרטן עש דואק -
Date:25חמישידצמבר 2025הרצאה
Tracking the emergence of intentions in the human motor cortex- evidence from intracranial neuronal recordings
More information שעה 14:00 - 15:00מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Uri Maoz, PhD מארגן המחלקה למדעי המוחצרו קשר תקציר Show full text abstract about Abstract: How voluntary, self-paced intentions emerge in the...» Abstract: How voluntary, self-paced intentions emerge in the brain and translate into action remains one of the most fundamental open questions in neuroscience. Leveraging rare access to intracranial neuronal recordings from human motor cortex, we built a real-time, online closed-loop system that allowed us to study the formation of voluntary actions under competitive conditions.We show that participants have only limited capacity to voluntarily steer their motor-cortex activity when doing so is strategically advantageous-revealing tight constraints on intentional control at the neural population level. Yet the commitment to act can be decoded reliably from motor-cortex activity roughly 250 ms before movement onset, at a time point when participants report already being consciously aware of their decision. We also find that brain–computer interfaces trained in one cognitive context transfer seamlessly to another, despite substantial differences in neural trajectories and force profiles-suggesting a shared underlying representational structure for volitional actions in motor cortex.Offline analyses further uncovered the specific neural patterns that signal commitment to action, shedding new light on how early voluntary actions can be reliably predicted from motor-cortex activity. We will conclude by discussing how these and related results inform emerging efforts to track and interpret intentions in advanced AI systems (ai-intentions.org). -
Date:28ראשוןדצמבר 2025אירועים אקדמיים
Scientific Council Meeting
More information שעה 09:38 - 10:38כותרת PhD hcהנשיא - בהשתתפות Ceremony for new members of the SC + Council of Prof.מיקום מרכז כנסים על-שם דויד לופאטי
KIMELצרו קשר -
Date:28ראשוןדצמבר 2025הרצאה
The Clore Center for Biological Physics
More information שעה 13:15 - 14:30כותרת Anticipatory and Responsive Regulation of Blood Glucose Levelsמיקום ספרית הפיסיקה על שם נלה וליאון בנוזיומרצה Dr. Danny Ben-Zvi
Lunch at 12:45צרו קשר תקציר Show full text abstract about Glucose can enter the blood following a meal, and/or can be ...» Glucose can enter the blood following a meal, and/or can be produced by the liver and kidneys at times of need such as fasting. An elevation in blood glucose beyond steady state levels leads to secretion of the hormone insulin, leading to increase in glucose uptake into muscle and adipose tissues. Diabetes Mellitus arises when insufficient levels of insulin are secreted into the blood, manifesting as a chronic elevation in blood glucose levels. A reduction in glucose levels can lead to secretion of a large number of hormones, such as glucagon, cortisol and adrenaline, which cause endogenous glucose production and secretion into the blood, maintaining homeostasis of glucose levels. In this talk we will use mathematical modeling and biochemical measurements to study the dynamics of hormone secretion in healthy individuals and Diabetes patients, and (hopefully) provide an answer to a key question: does the "body" measure glucose levels and regulates glucose levels accordingly by secreting insulin/glucose, as expected by a standard negative feedback system, or does it estimate future glucose levels and secretes hormones/glucose in a feedforward mechanism?Students interested in meeting the speaker after the seminar may sign up here:LINKFOR THE LATEST UPDATES AND CONTENT ON SOFT MATTER AND BIOLOGICAL PHYSICS AT THE WEIZMANN, VISIT OUR WEBSITE: https://www.bio -
Date:29שנידצמבר 2025הרצאה
PhD Defense Seminar- Ofir Kuperman
More information שעה 10:00 - 11:00כותרת Deciphering Sugar Uptake, Transport and Incorporation Mechanisms by Plant Tissues in the Context of Material Farmingמיקום בניין לביוכימיה על שם נלה וליאון בנוזיו למדעי הצמח
691צרו קשר -
Date:30שלישידצמבר 2025הרצאה
iSCAR Seminar
More information שעה 09:00 - 10:00כותרת Wicked Lymphatics Shape the Epigenetic Landscape of Epithelial Stem Cell Plasticityמיקום בניין ע"ש מקס ולילאן קנדיוטי
Auditoriumמרצה Dr. Shiri Gur-Cohen מארגן המחלקה לאימונולוגיה ורגנרציה ביולוגיתצרו קשר -
Date:30שלישידצמבר 2025הרצאה
Chemical Evolution: How Can Chemistry Invent Biology?
More information שעה 11:15 - 12:15מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Dr. Moran Frenkel-Pinter מארגן המחלקה לביולוגיה מבנית וכימית -
Date:30שלישידצמבר 2025הרצאה
Vision and AI
More information שעה 11:15 - 12:15כותרת Efficient representations for dense reasoning with long videosמיקום בניין יעקב זיסקינד
Room 155 - חדר 155מרצה Greg Shakhnarovich
TTI-Cמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about In some video understanding scenarios, it is important to ca...» In some video understanding scenarios, it is important to capture details that exist at fine temporal resolution, over a significant length of context (hundreds, thousands and even tens of thousands of frames). This poses a computational challenge for many existing video encoders. I will discuss our recent efforts on developing models for video representation that address this challenge in two ways, each with a different kind of video task in mind. In our work on sign language understanding we extract information from each video frame in a highly selective way, and train the long context encoder from a large video corpus without any labels. The resulting video model, SHuBERT, is a "foundation model" for American Sign Language achieving state of the art performance on multiple sign language understanding tasks. In another, ongoing effort, we focus on the task of nonlinear movie editing, and develop an autoregressive model that relies on a highly compressed representation of video frames. This model, trained on an unlabeled corpus of movies, yields state of the art results on complex movie editing tasks and on editing-related video understanding benchmarks. -
Date:31רביעידצמבר 2025הרצאה
Life Sciences Luncheon
More information שעה 12:30 - 14:00כותרת Prof. Rotem Sorekמיקום בניין לביוכימיה על שם נלה וליאון בנוזיו
Auditoriumמרצה Dr. Andrei Reznikov -
Date:01חמישיינואר 2026הרצאה
Vision and AI
More information שעה 12:15 - 13:15כותרת Bridging Generative Models and Visual Communicationמיקום בניין יעקב זיסקינד
Lecture Hall - Room 1 - אולם הרצאות חדר 1מרצה Yael Vinker
MITמארגן המחלקה למדעי המחשב ומתמטיקה שימושיתצרו קשר תקציר Show full text abstract about From rough sketches that spark ideas to polished illustratio...» From rough sketches that spark ideas to polished illustrations that explain complex concepts, visual communication is central to how humans think, create, and share knowledge. Yet despite major advances in generative AI, we are still far from models that can reason and communicate through visual forms.
I will present my work on bridging generative models and visual communication, focusing on three complementary domains: (1) algorithms for generating and understanding sketches, (2) systems that support exploratory visual creation beyond one-shot generation, and (3) methods for producing editable, parametric images for design applications.
These domains pose unique challenges: they are inherently data-scarce and rely on representations that go beyond pixel-based images commonly used in standard models. I will show how the rich priors of vision-language models can be leveraged to address these challenges through novel optimization objectives and regularization techniques that connect their learned features with the specialized representations required for visual communication.
Looking ahead, this research lays the foundation for general-purpose visual communication technologies: intelligent systems that collaborate with humans in visual domains, enhancing how we design, learn, and exchange knowledge.
Bio:
Yael Vinker is a Postdoctoral Associate at MIT CSAIL, working with Prof. Antonio Torralba. She received her Ph.D. in Computer Science from Tel Aviv University, advised by Profs. Daniel Cohen-Or and Ariel Shamir. Her research spans computer graphics, computer vision, and machine learning, with a focus on generative models for visual communication. Her work has been recognized with two Best Paper Awards (SIGGRAPH 2022, SIGGRAPH Asia 2023) and a Best Paper Honorable Mention (SIGGRAPH 2023). She was selected as an MIT EECS Rising Star (2024) and received the Blavatnik Prize for Outstanding Israeli Doctoral Students in Computer Science (2024) as well as the VATAT Ph.D. Fellowship.