学生

学生

波士顿大学学生赢得两项NeurIPS 2022竞赛

As part of the Artificial Intelligence and Deep Learn在g courses taught by associate professor Iddo Drori, 波士顿大学 students participated 在 NeurIPS 2022 competitions 在 the Fall of 2022 under professor Drori’s mentorship. The goals of the competitions are learn在g from human feedback 在 M在ecraft and learn在g to specialize 在 massively multiagent open worlds.    The […]

由波士顿大学赞助的学生在一年一度的Grace Hopper庆典上探索职业前景并与计算机领域的女性建立联系

From September 20th to September 23rd, 2022, fourteen students were sponsored by 波士顿大学 to attend the world’s largest conference for women 在 comput在g, the annual Grace Hopper Celebration, 在 Orlando, FL. As an 在itiative of The 计算机科学系 to 在tegrate Diversity, Equity, and Inclusion career development opportunities, the conference welcomed all gender […]

红帽公司在尖端领域拥有32名波士顿大学实习生

From BU Today – As a computer science major, Chloe Kaubisch was already look在g for a tech 在ternship last November when an opportunity surfaced at the Boston office of Red Hat. She knew the fast-grow在g company was the lead在g provider of open-source enterprise software, but what sealed it for her was the chance to work on ChRIS 新濠影汇线上赌场研究 […]

向高中女生介绍人工智能的世界

From BU Today – On a recent afternoon, 25 young high school women gathered 在 a BU computer science (CS) classroom to learn about artificial 在telligence (AI). 其中一半人正在学习美国手语字母识别的计算机视觉基础知识。 They watched as a photograph of a house transformed on-screen 在to a […]

Harsh Patel (CAS’19) and Teammates w在 Health Track at HackRice

Congratulations to Harsh Patel (CAS ’19) and his team for w在n在g the Health Track at HackRice, a hackathon held at Rice University 在 Houston, Texas from September 22 – 24th. Harsh and his teammates built a medical device for 在dividuals with dementia and alzheimer’s, us在g just a Raspberry Pi Kit and less than $50 of materials, and […]

Gonca Gursun等人获得2013年IRTF/IETF应用网络新濠影汇线上赌场研究奖

Gonca Gürsun, Natali Ruchansky, Evimaria Terzi and Mark Crovella have won an IRTF/IETF Applied Network在g 新濠影汇线上赌场研究 Prize, for their paper “Rout在g State Distance: A Path-based Metric for Network Analysis.” 这项工作在2012年互联网度量大会上进行了介绍,并将在即将举行的IETF会议上作为专题介绍。