Microsoft Research podcast

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추가했습니다 seven 년 전

Researchers across the Microsoft research community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Researchers across the Microsoft research community 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Know What You See with Brian Lowery

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Flight of the Monarchs: Jaime Rojo on Beauty and Conservation 31:01

10일 전31:01

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31:01

National Geographic photographer and conservationist Jaime Rojo has spent decades capturing the beauty and fragility of the monarch butterfly. Their epic migration is one of nature’s most breathtaking spectacles, but their survival is under threat. In this episode, Jaime shares how his passion for photography and conservation led him to document the monarchs’ journey. He and host Brian Lowery discuss the deeper story behind his award-winning images, one about resilience, connection, and the urgent need to protect our natural world. See Jaime's story on the monarch butterflies at his website: rojovisuals.com , and follow Brian Lowery at knowwhatyousee.com .…

Microsoft Research Podcast

시리즈 홈•Feed

An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.

306 에피소드

#Machine Learning #Tech #Researchers across the Microsoft research community

Microsoft Research Podcast

392 subscribers

updated 9일 전

시리즈 홈•Feed

An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.

306 에피소드

#Machine Learning #Tech #Researchers across the Microsoft research community

모든 에피소드

Microsoft Research Podcast

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Ideas: Quantum computing redefined with Chetan Nayak 57:04

9일 전57:04

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57:04

Microsoft announced the creation of the first topoconductor and first QPU architecture with a topological core. Dr. Chetan Nayak, a technical fellow of Quantum Hardware at the company, discusses how the breakthroughs are redefining the field of quantum computing.

Microsoft Research Podcast

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Ideas: Building AI for population-scale systems with Akshay Nambi 25:41

18일 전25:41

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25:41

In this episode, guest host Chris Stetkiewicz talks with Microsoft Principal Researcher Akshay Nambi about his focus on developing AI-driven technology that addresses real-world challenges at scale. Drawing on firsthand experiences, Nambi combines his expertise in electronics and computer science to create systems that enhance road safety, agriculture, and energy infrastructure. He’s currently working on AI-powered tools to improve education, including a digital assistant that can help teachers work more efficiently and create effective lesson plans and solutions to help improve the accuracy of models underpinning AI tutors.…

Microsoft Research Podcast

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Ideas: Bug hunting with Shan Lu 45:16

5 weeks 전45:16

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45:16

Struggles with programming languages helped research manager Shan Lu find her calling as a bug hunter. She discusses one bug that really haunted her, the thousands she’s identified since, and how she’s turning to LLMs to help make software more reliable.

Microsoft Research Podcast

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Ideas: AI for materials discovery with Tian Xie and Ziheng Lu 49:58

6 weeks 전49:58

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49:58

How do you generate and test materials that don’t exist yet? Researchers Tian Xie and Ziheng Lu share the story behind MatterGen and MatterSim, AI tools poised to transform materials discovery and help drive advances in energy, manufacturing, and sustainability.

Microsoft Research Podcast

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Ideas: AI and democracy with Madeleine Daepp and Robert Osazuwa Ness 51:23

10 weeks 전51:23

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51:23

As the “biggest election year in history” comes to an end, researchers Madeleine Daepp and Robert Osazuwa Ness and Democracy Forward GM Ginny Badanes discuss AI’s impact on democracy, including Daepp and Ness’s research into the tech’s use in Taiwan and India.

Microsoft Research Podcast

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NeurIPS 2024: The co-evolution of AI and systems with Lidong Zhou 17:36

10 weeks 전17:36

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17:36

Just after his NeurIPS 2024 keynote on the co-evolution of systems and AI, Microsoft CVP Lidong Zhou joins the podcast to discuss how rapidly advancing AI impacts the systems supporting it and the opportunities to use AI to enhance systems engineering itself. Learn more : Verus: A Practical Foundation for Systems Verification | Publication, November 2024 SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation | Publication, July 2024 BitNet: Scaling 1-bit Transformers for Large Language Models | Publication, October 2023…

Microsoft Research Podcast

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NeurIPS 2024: AI for Science with Chris Bishop 21:49

11 weeks 전21:49

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21:49

In this special edition of the podcast, Technical Fellow and Microsoft Research AI for Science Director Chris Bishop joins guest host Eliza Strickland in the Microsoft Booth at the 38th annual Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, British Columbia, to talk about deep learning’s potential to improve the speed and scale at which scientific advancements can be made.…

Microsoft Research Podcast

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Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang 11:34

11 weeks 전11:34

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11:34

Researcher Jindong Wang and Associate Professor Steven Euijong Whang explore the NeurIPS 2024 work ERBench. ERBench leverages relational databases to create LLM benchmarks that can verify model rationale via keywords in addition to checking answer correctness. Read the paper Get datasets and codes

Microsoft Research Podcast

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Abstracts: NeurIPS 2024 with Weizhu Chen  8:27

12 weeks 전8:27

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8:27

Next-token prediction trains a language model on all tokens in a sequence. VP Weizhu Chen discusses his team’s 2024 NeurIPS paper on how distinguishing between useful and “noisy” tokens in pretraining can improve token efficiency and model performance. Read the paper Get the code

Microsoft Research Podcast

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Abstracts: NeurIPS 2024 with Pranjal Chitale 10:45

12 weeks 전10:45

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10:45

Pranjal Chitale discusses the 2024 NeurIPS work CVQA. Spanning 31 languages and the cultures of 30 countries, this VQA benchmark was created with native speakers and cultural experts to evaluate model performance across diverse linguistic and cultural contexts. Read the paper Get the dataset

Microsoft Research Podcast

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Abstracts: NeurIPS 2024 with Dylan Foster 10:42

12 weeks 전10:42

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10:42

Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics. Read the paper

Microsoft Research Podcast

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Ideas: Economics and computation with Nicole Immorlica 36:15

12 weeks 전36:15

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36:15

When Senior Principal Research Manager Nicole Immorlica discovered she could use math to make the world a better place for people, she was all in. She discusses working in computer science theory and economics, including studying the impact of algorithms and AI on markets.

Microsoft Research Podcast

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Ideas: The journey to DNA data storage 42:39

15 weeks 전42:39

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42:39

Research manager Karin Strauss and members of the DNA Data Storage Project reflect on the path to developing a synthetic DNA–based system for archival data storage, including the recent open-source release of its most powerful algorithm for DNA error correction. Get the Trellis BMA code: GitHub - microsoft/TrellisBMA: Trellis BMA: coded trace reconstruction on IDS channels for DNA storage…

Microsoft Research Podcast

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Abstracts: November 14, 2024 13:30

15 weeks 전13:30

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13:30

The efficient simulation of molecules has the potential to change how the world understands biological systems and designs new drugs and biomaterials. Tong Wang discusses AI2BMD, an AI-based system designed to simulate large biomolecules with speed and accuracy. Read the paper Get the code

Microsoft Research Podcast

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Collaborators: Prompt engineering with Siddharth Suri and David Holtz 55:26

16 weeks 전55:26

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55:26

Researcher Siddharth Suri and professor David Holtz give a brief history of prompt engineering, discuss the debate behind their recent collaboration, and share what they found from studying how people’s approaches to prompting change as models advance. Learn more: As Generative Models Improve, People Adapt Their Prompts | Publication, July 2024 AI, Cognition, and the Economy (AICE) | Initiative page…