In the news | Microsoft AI Blog
Microsoft open sources its ‘farm of the future’ toolkit
FARMINGTON, Wash. – The gently rolling hills here in eastern Washington have long grown rich harvests of wheat, barley and lentils. Fifth-generation farmer Andrew Nelson is adding a new bumper crop to that bounty: Data. He gathers it from sensors…
In the news | HOW AI HAPPENS Podcast
Microsoft’s AI for Science Senior Director Bonnie Kruft
Dr. Bonnie Kruft currently serves as the Senior Director at Microsoft’s AI for Science, and in our conversation, we cover everything from quantum chemistry to data science. Tuning in you’ll hear Dr. Kruft unpack how she went from earning a…
In the news | SiliconAngle
Microsoft open-sources AI algorithms for optimizing farm operations
Microsoft Corp. today open-sourced FarmVibes.AI, a collection of artificial intelligence models that farm operators can use to perform tasks such as planting crops more efficiently. FarmVibes.AI is one of several technologies that Microsoft has developed as part of an initiative…
In the news | MICROSOFT AZURE BLOG
Scalable management of virtualized RAN with Kubernetes
At Microsoft, we believe our Azure system and network management tools and expertise can be repurposed to manage and optimize telecommunication infrastructure as well. Here we describe some of the more interesting technologies that fit into the management of a…
In the news | Microsoft on the Issues - LinkedIn
Tech Issues Explained: Broadband Access
Take a minute and think: How you do your banking, get updates from friends, submit school assignments or even do your job? For billions of people, the answer is “through the internet.” Or in other words, with a fast broadband internet…
Research Focus: Week of September 26, 2022
Research Focus highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft.
Paper (opens in new tab) / Code (opens in new tab) / Demo (opens in new tab) / Docs (opens in new tab) Modern machine learning models are known to fail in ways that aren’t anticipated during training these models. These…
Pushing the limit of semi-supervised learning with the Unified Semi-supervised Learning Benchmark
Neural models give competitive results when trained with supervised learning using sufficient high-quality labeled data. For example, according to statistics from the Paperswithcode website, recent traditional supervised learning methods can achieve an accuracy of over 88% on the ImageNet dataset,…
AI+生物医药，如何双向赋能？
编者按：近年来，人工智能的深入发展助力生物医学研究取得了重大突破。“AI+生物医药”成为了学术界和产业界都非常关注的热门赛道。在后疫情时代， “AI+生物医药”能否保持强劲的发展态势，又将面临哪些机遇与挑战？ 在世界人工智能大会2022的上海生物计算论坛上，微软杰出首席科学家、微软研究院科学智能中心亚洲区负责人、微软亚洲研究院副院长刘铁岩与上海市生物医药促进中心副主任唐军，华深智药创始人兼CEO彭...