Microsoft Research Podcast

Microsoft Research Podcast

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

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Episoder(200)

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

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

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 hel...

16 Jan 202549min

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

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

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 ...

19 Des 202451min

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

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

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 opp...

17 Des 202417min

NeurIPS 2024: AI for Science with Chris Bishop

NeurIPS 2024: AI for Science with Chris Bishop

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 Confere...

13 Des 202421min

Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang

Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang

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 ration...

13 Des 202411min

Abstracts: NeurIPS 2024 with Weizhu Chen 

Abstracts: NeurIPS 2024 with Weizhu Chen 

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...

6 Des 20248min

Abstracts: NeurIPS 2024 with Pranjal Chitale

Abstracts: NeurIPS 2024 with Pranjal Chitale

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...

6 Des 202410min

Abstracts: NeurIPS 2024 with Dylan Foster

Abstracts: NeurIPS 2024 with Dylan Foster

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 explo...

6 Des 202410min

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