ICML 2024 Best Paper Award
“Stealing Part of a Production Language Model” written by A. Feder Cooper et al. receives ICML 2024 Best Paper Award.
Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
“Stealing Part of a Production Language Model” written by A. Feder Cooper et al. receives ICML 2024 Best Paper Award.
In Microsoft’s pioneering AI For Good Lab, data scientists and researchers’ use of artificial intelligence (AI) is helping to tackle disinformation, predict wildfires, track whales and even detect leprosy in vulnerable populations. But what are…
Tusher Chakraborty was recognized for the contributions to enabling data-driven farming, influencing FCC to adopt regulations on IoT in TV White Spaces, and pioneering research in satellite-based IoT communications. The Misties Awards are for top…
Amref Health Africa partners with Microsoft AI for Good and Kenya’s Ministry of Health to identify, address, and combat food malnutrition among children in Africa with the help of Microsoft AI technology.
The ‘AI for Africa’ report published by the Global System for Mobile Communications (GSMA), an association of mobile network operators, shows that agriculture and food security takes up 49 percent of all AI deployments followed…
VentureBeat announced the winners of the sixth annual Women in AI Awards yesterday at VB Transform. The “Rising Star” award honors a woman in the early stage of her AI career who has demonstrated exemplary…
Our paper titled “SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation” received the Best Paper Award at the 2024 USENIX Annual Technical Conference (USENIX ATC ’24).
Sriram K Rajamani, corporate vice president and managing director of Microsoft Research India Lab, reflects on how computer science and engineering research has evolved at the centre, in Bengaluru. In this conversation, Rajamani touches upon…
Around the time GPT-4 was making headlines for acing standardized tests, Microsoft researchers and collaborators were putting other AI models through a different type of test — one designed to make the models fabricate information.