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Aug 29, 2024 | 
microsoft.com | Dongsheng Li |Dongqi Han |Yansen Wang |Alyssa Hughes
As AI research and technology development continue to advance, there is also a need to account for the energy and infrastructure resources required to manage large datasets and execute difficult computations. When we look to nature for models of efficiency, the human brain stands out, resourcefully handling complex tasks. Inspired by this, researchers at Microsoft are seeking to understand the brain’s efficient processes and replicate them in AI.
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Jul 16, 2024 | 
microsoft.com | Alyssa Hughes
Rising carbon emissions have significantly challenged sustainable development in recent years, prompting global efforts to implement carbon reduction policies and achieve long-term carbon neutrality. A crucial step in this transition involves the recycling and reuse of power batteries, which are assessed for their state-of-health (SoH) and then repaired or restructured for reuse in smaller-sized electric vehicles (EVs), energy storage systems, and smart streetlights.
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Jun 26, 2024 | 
microsoft.com | Alyssa Hughes
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Virtualized radio access networks (vRANs), which run the cellular radio stack on commodity servers instead of specialized hardware, are increasingly used in modern cellular networks (e.g., 5G), owing to advantages such as a multi-vendor ecosystem, easier maintenance, and faster feature upgrades.
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Jun 19, 2024 | 
microsoft.com | Dongqi Han |Alyssa Hughes
In the intertwined worlds of psychology, cognitive neuroscience, and artificial intelligence, scientists continue to pursue the elusive goal of decoding and mimicking human and animal behavior. One of the most intriguing aspects of this research is the interplay between two types of behaviors: habitual and goal directed.
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Jun 17, 2024 | 
microsoft.com | Alyssa Hughes
Microsoft is proud to sponsor the 41st annual Conference on Computer Vision and Pattern Recognition (CVPR 2024), held from June 17 to June 21. This premier conference covers a broad spectrum of topics in the field, including 3D reconstruction and modeling, action and motion analysis, video and image processing, synthetic data generation, neural networks, and many more. This year, 63 papers from Microsoft have been accepted, with six selected for oral presentations.
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Jun 12, 2024 | 
microsoft.com | Alyssa Hughes
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Relevance in AI refers to the usefulness of information or actions to a specific task or query. It helps determine the accuracy, effectiveness, efficiency, and user satisfaction of content from search engines, chatbots, and other AI systems.
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Jun 5, 2024 | 
microsoft.com | Alyssa Hughes
In the latest episode of Microsoft Research Forum, researchers explored the importance of globally inclusive and equitable AI, shared updates on AutoGen and MatterGen, presented novel use cases for AI, including industrial applications and the potential of multimodal models to improve assistive technologies. Below is a brief recap of the event, including select quotes from the presentations. Full replays of each session and presentation will be available soon.
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May 30, 2024 | 
msft.it | Johannes Gehrke |Alyssa Hughes |Weishung Liu
In the Microsoft Research Podcast series What’s Your Story, Johannes Gehrke explores the who behind the technical and scientific advancements helping to reshape the world. A systems expert whose 10 years with Microsoft spans research and product, Gehrke talks to members of the company’s research community about what motivates their work and how they got where they are today. In this episode, Gehrke is joined by Principal PM Manager Weishung Liu.
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May 8, 2024 | 
microsoft.com | Liyuan Liu |Jianfeng Gao |Alyssa Hughes
This research paper was presented at the 12th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning. Large language models (LLMs) rely on complex internal mechanisms that require more memory than what is typically available to operate on standard devices.
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Apr 29, 2024 | 
microsoft.com | Rodrigo Fonseca |Madan Musuvathi |Alyssa Hughes
Modern computer systems and applications, with unprecedented scale, complexity, and security needs, require careful co-design and co-evolution of hardware and software. The ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (opens in new tab), is the main forum where researchers bridge the gap between architecture, programming languages, and operating systems to advance the state of the art.
