NeurIPS 2024 event header with abstract background pattern
December 10, 2024 – December 15, 2024

Microsoft at NeurIPS 2024

위치: Vancouver, BC, Canada

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Research Focus: Week of December 16, 2024
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NeoMem: hardware/software co-design for CXL-native memory tiering; Chimera: accurate retrosynthesis prediction by ensembling models with diverse inductive biases; GA4GH task execution API enables multicloud task execution.

Illustrated headshots of Lidong Zhou and Eliza Strickland
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| Lidong Zhou 그리고 Eliza Strickland

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…

Illustrated headshots of Chris Bishop and Eliza Strickland
Microsoft Research 팟캐스트

| Christopher Bishop 그리고 Eliza Strickland

From the Microsoft Booth at NeurIPS 2024, Microsoft Research AI for Science Director Chris Bishop discusses how AI is changing approaches to scientific advancement—from drug discovery to weather forecasting—and the profound impact it can have on the world.

Illustrated image of Jindong Wang and Steven Eujiong Whang. “Abstracts: A Microsoft Research Podcast” runs along the bottom.
Microsoft Research 팟캐스트

| Gretchen Huizinga, Jindong Wang, 그리고 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 rationale via keywords in addition to checking answer correctness.

Illustrated image of Weizhu Chen.
Microsoft Research 팟캐스트

| Amber Tingle 그리고 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 can improve token efficiency and model performance.

Illustrated image of Dylan Foster for the Abstracts series on the Microsoft Research Podcast.
Microsoft Research 팟캐스트

| Amber Tingle 그리고 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 explored in their 2024 NeurIPS paper on RL under latent dynamics.

Illustrated image of Pranjal Chitale.
Microsoft Research 팟캐스트

| Gretchen Huizinga 그리고 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 performance across diverse linguistic and cultural contexts.