Selon un rapport de RBC | Le secteur agricole doit accroître sa … – La Presse
Selon un rapport de RBC | Le secteur agricole doit accroître sa … La Presse …
OpenAI and Microsoft Extend Partnership
We’re happy to announce that OpenAI and Microsoft are extending our partnership. This multi-year, multi-billion dollar investment from Microsoft follows their previous investments in 2019 and 2021, and will allow us to continue our independent research and develop AI that is increasingly safe, useful, and …
Google Research, 2022 & Beyond: Language, Vision and Generative Models
Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the …
Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and How to Reduce Risk
OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and …
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) …
Differential Privacy Accounting by Connecting the Dots
Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the …
