NeurIPS上新 | 优化生成式AI效能，推进负责任AI实践
编者按：编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 12月10日至12月15日，全球最负盛名的人工智能盛会之一 NeurIPS 大会将在加拿大温哥华举办。因此，我们将通过三期“科研上新”为大家带来多篇微软亚洲研究院入选 NeurIPS 2024 的精选...
We’re excited to be a part of #NeurIPS2024! Explore the future of AI with over 100 groundbreaking papers, including oral and spotlight sessions, on reinforcement learning, advanced language model training, and multilingual, culturally inclusive benchmarks.
In the news | Yahoo Finance
Big changes are coming to AI in 2025: Microsoft
According to Ashley Llorens, corporate vice president and managing director at Microsoft Research, AI models will soon be able to handle far more complex tasks, such as triaging customer requests or tracking employee expenses. Additionally, AI will become increasingly energy…
Abstracts: NeurIPS 2024 with Weizhu Chen
| Amber Tingle and 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.
Abstracts: NeurIPS 2024 with Dylan Foster
| Amber Tingle and 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.
Abstracts: NeurIPS 2024 with Pranjal Chitale
| Gretchen Huizinga and 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.
In the news | Windows Experience Blog
Phi Silica, small but mighty on-device SLM
Today we will share how the Applied Sciences team used a multi-interdisciplinary approach to achieve a breakthrough in power efficiency, inference speed and memory efficiency for a state-of-the-art small language model (SLM), Phi Silica.
Since the Industrial Revolution, the burning of fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2,…
Ideas: Economics and computation with Nicole Immorlica
| Gretchen Huizinga and Nicole Immorlica
When 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…