In the news | Microsoft AI blog
Microsoft is making upgrades to Translator and other Azure AI services powered by a new family of artificial intelligence models its researchers have developed called Z-code, which offer the kind of performance and quality benefits that other large-scale language models…
In the news | NVIDIA Blogs
Microsoft aims to be the first to put a class of powerful AI transformer models into production using Azure with NVIDIA GPUs and Triton inference software. When your software can evoke tears of joy, you spread the cheer. So, Translator,…
In the news | ZDNet
Microsoft is updating its Translator and other Azure AI services with a set of AI models called Z-code, officials announced on March 22. These updates will improve the quality of machine translations, as well as help these services support more…
In the news | Provoca
Nesta terça-feira (22/3), Marcelo Tas conversa no Provoca com o engenheiro e pesquisador Rico Malvar. Antigo cientista-chefe no maior laboratório da Microsoft Research em Redmond, Washington, o convidado fala sobre sua história na empresa, o combate às fake news e…
In the news | USA Today Ag Special Edition
Advances in digital technologies and telecommunications over the last few decades have dramatically changed many homes and businesses around the world. The vast majority of today's farms, however, still operate a lot like their 20th century brethren.
In the news | Azure Cognitive Services
Last year, Azure Cognitive Services announced the release of Azure Cognitive Service for Language. During that release, multiple NLP services came together under a unified, state-of-the-art, NLP service available under one resource and one user experience. Three new custom features…
编者按:量子计算有望帮助我们解决人类所面临的一些最严峻的挑战。然而,在这个新生领域,我们仍处于发展的早期阶段。目前,在量子计算机的帮助下,研究人员已经能够开展一些有趣的研究项目,但他们仍然受制于系统规模的不足,无法开展更多研究。现有的量子计算机所依赖的量子比特有很多类型,但迄今为止还没有哪一类能够扩展到足够多的量子比特,以充分发挥量子计算的潜力。 微软正在采用一种更具挑战性但最终更有前景的方法来扩...
A compilation of research being done at Microsoft on accelerating biodiversity surveys with AI We apply machine learning tools to a variety of image sources – including motion-triggered camera traps, aerial cameras, and microphones – to accelerate ecologists’ workflows. Our…
编者按:2021年,获得 ICCV 最佳论文奖的 Swin Transformer,通过在广泛的视觉问题上证明 Transformer 架构的有效性,加速了计算机视觉领域基本模型架构的变革。2021年末,微软亚洲研究院的研究员们又进一步提出了 Swin Transformer v2.0 版本,新版本训练了迄今为止最大的稠密视觉模型,并在多个主流视觉任务上大大刷新了记录,相关论文也已被 CVPR 2...