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درباره برتیناتماس با ماهوش مصنوعی رایگانایمیل رایگانمترجم رایگانDNS رایگانهواشناسیکاوش برتیناپشتیبانیتبلیغ در برتینا
درباره سرچحریم خصوصیشرایط

برتینا (فناوری پیشرفته پارسیان) شرکت دانش‌بنیان حوزه هوش مصنوعی

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dl.acm.org/doi/abs/10.1145/1806689.1806701PDF

How to compress interactive communication

B Barak, M Braverman, X Chen, A Rao - Proceedings of the forty-second …, 2010 - dl.acm.org
۲۹۲ ارجاع2010

We describe new ways to simulate 2-party communication protocols to get protocols with potentially smaller communication. We show that every communication protocol that …

www.nature.com/articles/nature12160PDF

The importance of mixed selectivity in complex cognitive tasks

M Rigotti, O Barak, MR Warden, XJ Wang, ND Daw… - Nature, 2013 - nature.com
۲۱۸۳ ارجاع2013

Single-neuron activity in the prefrontal cortex (PFC) is tuned to mixtures of multiple task-related aspects. Such mixed selectivity is highly heterogeneous, seemingly disordered and …

link.springer.com/content/pdf/10.1140/epjc/s10052-018-6288-9.pdfPDF

Performance of missing transverse momentum reconstruction with the ATLAS detector using proton–proton collisions at

…, S Banerjee, AAE Bannoura, L Barak… - The European Physical …, 2018 - Springer
۲۲۷۷ ارجاع2018

The performance of the missing transverse momentum ( E T miss \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{…

arxiv.org/abs/2601.03267PDF

Openai gpt-5 system card

…, B Ji, B Hoover, B Chen, B Chen, B Barak… - arXiv preprint arXiv …, 2025 - arxiv.org
۹۰۰ ارجاع2025

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper …

link.springer.com/article/10.1140/epjc/s10052-017-5031-2PDF

Jet reconstruction and performance using particle flow with the ATLAS Detector

…, E Banas, S Banerjee, AAE Bannoura, L Barak… - The European Physical …, 2017 - Springer
۲۰۳۷ ارجاع2017

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb - 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{…

link.springer.com/article/10.1140/epjc/s10052-014-2941-0PDF

Electron reconstruction and identification efficiency measurements with the ATLAS detector using the 2011 LHC proton–proton collision data

…, AAE Bannoura, V Bansal, HS Bansil, L Barak - The European Physical …, 2014 - Springer
۱۹۲۶ ارجاع2014

Many of the interesting physics processes to be measured at the LHC have a signature involving one or more isolated electrons. The electron reconstruction and identification …

my.northland.edu/wp-content/uploads/sites/2/2020/10/BUS-415-Kuk...PDF

Managing diversity: Toward a globally inclusive workplace

MEM Barak - 2022 - my.northland.edu
۲۵۳۵ ارجاع2022

Students acquire knowledge and skills that prepare them to be effective managers of diverse populations. The course emphasizes the causes and consequences of organizational …

link.springer.com/article/10.1140/epjc/s10052-014-3071-4PDF

Electron and photon energy calibration with the ATLAS detector using LHC Run 1 data

…, AAE Bannoura, V Bansal, HS Bansil, L Barak… - The European Physical …, 2014 - Springer
۱۷۸۸ ارجاع2014

This paper presents the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb - 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \…

www.science.org/doi/abs/10.1126/science.1150769PDF

Synaptic theory of working memory

G Mongillo, O Barak, M Tsodyks - Science, 2008 - science.org
۱۶۹۱ ارجاع2008

It is usually assumed that enhanced spiking activity in the form of persistent reverberation for several seconds is the neural correlate of working memory. Here, we propose that working …

iopscience.iop.org/article/10.1088/1742-5468/ac3a74/metaPDF

Deep double descent: Where bigger models and more data hurt

…, G Kaplun, Y Bansal, T Yang, B Barak… - Journal of Statistical …, 2021 - iopscience.iop.org
۱۶۴۶ ارجاع2021

We show that a variety of modern deep learning tasks exhibit a ‘double-descent’ phenomenon where, as we increase model size, performance first gets worse and then gets better. …

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