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52:36

Developing a Brain-Computer Interface Based on Visual Imagery

A brain-computer interface (BCI) is a technology to provide direct communication between the brain and an external device. In this project, we have utilized noninvasive electroencephalography (EEG) to record and decode neural activity during the observation and mental imagery of visual stimuli. Our platform has demonstrated successful discrimination between face and scene image categories during […]
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39:58

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck – #551

Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award recipient. We begin our conversation with Sebastian with a bit of a primer on convex optimization, a topic that hasn’t come up much in […]
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09:20

TUTEL-MoE-STACK OPTIMIZATION FOR MODERN DISTRIBUTED TRAINING | RAFAEL SALAS & YIFAN XIONG

The Mixture-of-Experts (MoE) is a sparsely activated deep learning model architecture that has sublinear compute costs with respect to their parameters. MoE is one of the few scalable approaches for training trillion-parameter scale deep learning models. This talk will present Tutel, an open-source project built with the Pytorch framework. Tutel is being actively developed by […]
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12:08

PROFILING AND OPTIMIZING PYTORCH APPLICATIONS WITH THE PYTORCH PROFILER | SABRINA SMAI

PyTorch Profiler is a tool that allows the collection of the performance metrics during the training and inference. The Profiler’s context API can be used to better understand what model operators are the most expensive, examine their input shapes and stack traces, study device kernel activity and visualize the execution trace. In this talk, Sabrina […]
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12:11

THE TRITON LANGUAGE | PHILIPPE TILLET

Triton is a new language that enables researchers with no CUDA experience to write highly efficient GPU code-most of the time on par with what an expert would be able to produce. Since its inception as a graduate research project, Triton has helped provide fast and maintainable kernels across several organizations (e.g., OpenAI, Facebook, Microsoft). […]
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Two Minute Papers: What Can We Learn From Deep Learning Programs? | Two Minute Papers #75

The paper “Model Compression” is available here: https://www.cs.cornell.edu/~caruana/compression.kdd06.pdf There is also a talk on it here: http://research.microsoft.com/apps/video/default.aspx?id=103668&r=1 Discussions on this issue: 1. https://www.linkedin.com/pulse/computer-vision-research-my-deep-depression-nikos-paragios 2. https://www.reddit.com/r/MachineLearning/comments/4lq701/yann_lecuns_letter_to_cvpr_chair_after_bad/ Recommended for you: Neural Programmer Interpreters – https://www.youtube.com/watch?v=B70tT4WMyJk WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: David Jaenisch, Sunil Kim, Julian Josephs. https://www.patreon.com/TwoMinutePapers […]
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37:22

[ML News] DeepMind builds Gopher | Google builds GLaM | Suicide capsule uses AI to check access

#mlnews #gopher #glam Your updates on everything going on in the Machine Learning world. Sponsor: Weights & Biases https://wandb.me/yannic OUTLINE: 0:00 – Intro & Overview 0:20 – Sponsor: Weights & Biases 3:05 – DeepMind releases 3 papers on large language models 11:45 – Hugging Face Blog: Training CodeParrot from scratch 14:25 – Paper: Pre-Training vision […]
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21:35

SingularityNET: 1000 Black Voices: Behind the Scenes

1000 Black Voices, founded by Dr. Elizabeth Shaw, is an organization whose mission is to empower the Black community and eradicate racism by educating and improving understanding of Black culture, racism and what it means to be Black. A kind of Launchpad for Black Tech startups, 1000 Black Voices has partnered with companies such as […]
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04:36

CoRL 2020, Spotlight Talk 392: MultiPoint: Cross-spectral registration of thermal and optical aer…

“**MultiPoint: Cross-spectral registration of thermal and optical aerial imagery** Florian Achermann (ETH Zurich)*; Andrey Kolobov (Microsoft); Debadeepta Dey (Microsoft); Timo Hinzmann (ETH Zürich); Jen Jen Chung (ETH Zurich); Roland Siegwart (ETH Zürich, Autonomous Systems Lab); Nicholas Lawrance (ETH Zürich) Publication: http://corlconf.github.io/paper_392/ **Abstract** While optical cameras are ubiquitous in robotics, some robots can sense the world […]
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25:40

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]
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52:28

Community Talks on Day 2 | PyTorch Developer Day 2021

Hear from the PyTorch Community the latest developments and how it is being used in industry. ⏱All times below are in Pacific Standard Time ⏱ – 10:05 am: Building an AI-powered Surgical Intelligence Platform for the Operating Room – Omri Bar, theator (https://theator.io/) – Warning: The following includes an in-theatre video of a surgical procedure […]
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57:24

AI for Healthcare with Peter Lee – TWiML Talk #231

In this episode, we’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met a few months ago at the Microsoft Ignite conference, where he gave me some really interesting takes on AI development in China. You can find more on that topic in the […]
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03:16

Two Minute Papers: Creating Photographs Using Deep Learning | Two Minute Papers #13

Machine learning techniques such as deep learning artificial neural networks had proven to be extremely useful for a variety of tasks that were previously deemed very difficult, or even impossible to solve. In this work, a deep learning technique is used to learn how different light source positions affect a scene and create (“guess”) new […]
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Kai-Fu Lee on the Future of Artificial Intelligence
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★★★★★ Kai-Fu Lee on the Future of Artificial Intelligence

Kai-Fu Lee is one of the world’s leading Artificial Intelligence experts and a bestselling author. In conversation with Kamal Ahmed, former Editorial Director of the BBC, he discussed his new work of “scientific fiction”, AI 2041, co-authored with the celebrated novelist Chen Qiufan. He founded Microsoft Asia’s research lab that has trained CTOs and AI […]
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46:38

T7 09 Panel: Preparing for the next generation of developer communities

Moderator: Denae Ford Robinson, Senior Researcher, Microsoft Research Redmond Speakers: Margaret Price, Principal Design Strategist, Microsoft EDU Bobby Dresser, Director of Product, GitHub Mala Kumar, Director of Tech for Social Good, GitHub As more people are programming for a purpose, they have turned to online communities and resources to grow their developer skills. But there […]
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30:50

T7 08 Research talks: Software supply chain security

Speakers: Adrian Diglio, Principal PM of Software Supply Chain Security, Microsoft Michael Scovetta, Principal Security PM Manager, Microsoft The software development process has an extensive list of dependencies for building software, to include build inputs such as source code, open-source software (OSS), software development kits (SDKs), compilers, linkers, and other build tools. Securing the use […]
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38:47

T7 07 Lightning talks: Augmented Mathematical Intelligence

Speakers: Leonardo de Moura, Sr Principal Researcher, Microsoft Research Redmond Kevin Buzzard, Professor of Pure Mathematics, Imperial College London Daniel Selsam, Senior Researcher, Microsoft Research Redmond Augmented Mathematical Intelligence (AMI) refers to the ability to solve formally specified problems as reliably as humans can over all classes of such problems that are of interest to […]
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10:54

T7 04 Research Talk: Torchy: A tracing JIT compiler for PyTorch

Speaker: Nuno Lopes, Principal Researcher, Microsoft Research Cambridge This session will introduce current technologies to speed up training of machine learning models and their limitations, and it will also include a presentation of Torchy, a transparent solution to speed up PyTorch workloads through the means of JIT compilation. Machine learning models and their respective code […]
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39:40

T7 03 Panel: Developer velocity and productivity

Speakers: Margaret-Anne Storey, Professor, University of Victoria Bryan Liles, Principal Engineer, VMware Amanda Silver, CVP of Product, Microsoft Developer Division Nicole Forsgren, Partner, Microsoft Research Redmond The socio-technical nature of the software development process has continually taken a prominent role in how software systems has evolved. Microsoft, as the global leader in software development, is […]
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01:03:51

T7 02 Research Talks: AI for software development

Speakers: Neel Sundaresan, Vice President, Engineering & AI, Microsoft Oege de Moor, VP GitHub Next, GitHub Todd Mytkowicz, Sr. Principal Researcher, Microsoft Research Redmond This session will showcase a future in which AI automates much of the tedious and error-prone collaborative software development tasks. We take a broad, end-to-end view of software development that consists […]
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