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. How an archeological approach can help leverage biased data in AI to improve medicine Although computer scientists may initially treat data bias and error as a nuisance, researchers, including an HST faculty member, argue it’s a hidden treasure trove for reflecting societal values. Pagination First page « First Previous page Previous … Page 22 Page 23 Page 24 Current page 25 Page 26 Page 27 Page 28 … Next page Next Last page Last »
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.
How an archeological approach can help leverage biased data in AI to improve medicine Although computer scientists may initially treat data bias and error as a nuisance, researchers, including an HST faculty member, argue it’s a hidden treasure trove for reflecting societal values.
