درباره این اپیزود
Daniel Melcer is a PhD student at Northeastern University, where he researches formal methods, reinforcement learning, and large language models, among other things. Daniel also has the most colorful hair in the business (bright red for this talk, other colors for other occasions). Today he joined us to talk about some really exciting work he completed at Amazon, and to expand on his general vision of where constrained inference problems are heading in the future.
انگلیسی
ایالات متحده آمریکا
رونوشت 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
جستجوی اپیزودهای گذشته
اپیزودهای قبلی Boston Computation Club را جستجو کن.
قسمت های دیگر در این پادکست
Max von Hippel is ... me, the organizer and founder of the Boston Computation Club. Today I hosted an extremely informal event to chat about some of the early experiments in FMxAI I was involved with at Galois, two years ago.
Mingwei Zhenga Ph.D. candidate in the Department of Computer Science at Purdue University, advised by Prof. Xiangyu Zhang since 2021. Before that, she received her Bachelor’s degree in Computer Science and Technology from Huazhong University of Science and Technology in 2020. Mingwei's research lie…
David A. Noever and Forrest McKee are researchers at PeopleTec, where they work on problems at the intersection of security, defense, and AI/ML. Today David joined us to present their joint work Infecting Generative AI with Viruses. This was a really great presentation that took a rigorous approa…
Chenfeng Wei is a PhD student at the University of Manchester, where he researches formal guarantees for large language models. Today he joined us to talk about his latest work exploring bugs in smart-contracts. This is a really interesting project at the intersection of explainable AI, smart contr…
Today Xiao Mao joined us to discuss his groundbreaking work, Breaking the Sorting Barrier for Directed Single-Source Shortest Paths. It's not every day you beat Djikstra at something. This was a good one. Thank you for talking to us, Xiao!
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به Max von Hippel است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.
ویرایش
از کمک شما برای بروز نگهداشتن پایگاهدادههای پادکست سپاسگزاریم
