新闻与深度文章
| Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, 和 Saravan Rajmohan
Machine learning (ML) offers tremendous opportunities to increase productivity. However, ML systems are only as good as the quality of the data that informs the training of ML models. And training ML models requires a significant amount of data, more…
| Abhishek Arun, Ramakrishna Bairi, Paul Bennett, Kevin Moynihan, 和 Adam D. Troy
It’s a big day for you. Back-to-back meetings are scheduled with critical customers and partners, and a parent-teacher conference is sandwiched in there as well. As you’re headed toward the last meeting, suddenly you cannot remember the key talking points.…
新闻报道 | TheNextWeb
Microsoft’s new AI can generate smart to-do lists from your emails
Researchers from the University of Washington and Microsoft’s AI team today unveiled a ‘Smart To-Do’ tool for automatically generating task lists from emails. Smart To-Do is an AI feature that scans your outgoing emails for actionable text and turns your…
新闻报道 | VentureBeat
Microsoft claims its AI framework spots fake news better than state-of-the-art baselines
In a [study] published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news.…
As email continues to be not only an important means of communication but also an official record of information and a tool for managing tasks, schedules, and collaborations, making sense of everything moving in and out of our inboxes will…
Adam Troy had an idea. He was spending so much time searching through old emails and attachments to prepare for meetings: Could AI help him be better prepared for meetings? Could machine learning automatically identify the most relevant emails and…