2023-24 Takeda Fellows: Advancing research at the intersection of AI and health Thirteen new graduate student fellows, including an HST student, will pursue exciting new paths of knowledge and discovery. The power of representation and connectivity in STEM education Bridging Talents and Opportunities event serves as an outreach initiative for the Latin community. School of Engineering third quarter 2023 awards Faculty and researchers across MIT’s School of Engineering, including at HST faculty, receive many awards in recognition of their scholarship, service, and overall excellence. Twelve with MIT ties elected to the National Academy of Medicine for 2023 Five MIT faculty, including an HST faculty member, and three HST MD alumni, are honored for outstanding contributions to medical research. Is AI in the eye of the beholder? Study by researchers, including an HST student, shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot. Pagination First page « First Previous page Previous … Page 9 Page 10 Page 11 Current page 12 Page 13 Page 14 Page 15 … Next page Next Last page Last »
2023-24 Takeda Fellows: Advancing research at the intersection of AI and health Thirteen new graduate student fellows, including an HST student, will pursue exciting new paths of knowledge and discovery.
The power of representation and connectivity in STEM education Bridging Talents and Opportunities event serves as an outreach initiative for the Latin community.
School of Engineering third quarter 2023 awards Faculty and researchers across MIT’s School of Engineering, including at HST faculty, receive many awards in recognition of their scholarship, service, and overall excellence.
Twelve with MIT ties elected to the National Academy of Medicine for 2023 Five MIT faculty, including an HST faculty member, and three HST MD alumni, are honored for outstanding contributions to medical research.
Is AI in the eye of the beholder? Study by researchers, including an HST student, shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
