01:05:45 Timothy Topolski: Love the comic! 01:09:37 Percy Zahl: Thank fir the great talk or lecture! Enjoyed it… I’ll get back to you by Email… 01:09:45 Percy Zahl: Thank you 01:09:52 Kelsey Yao: thank you! 01:10:00 Timothy Topolski: Thank you very much@ 01:10:01 Mary Bishai: Don't forget to fill out our survey: https://forms.office.com/g/eNYttt1aVZ 01:10:08 Esther Ye: Thank you! 01:10:43 Paul Stankus: GAN example for faces https://thispersondoesnotexist.com/ 01:12:47 prerana: What do you think are the limitations of ML today? 01:14:21 Percy Zahl: What are typical schemes to use ML results to actually control a machine or robot, etc…? 01:15:08 prerana: Thats good to know. Thanks for sharing 01:15:53 Timothy Topolski: Have deep learning networks been implemented in lower-level languages? Seems to me they would be much more energy efficient, even if harder to implement 01:16:37 Suchitha Channapatna: Can you explain the difference between ML vs deep learning again please? 01:16:42 Carlos X Soto: For robot control, look at “reinforcement learning”. This is not a solved problem, but a very active area of research. 01:17:27 Timothy Topolski: Thank you 01:19:10 Carlos X Soto: Deep learning refers to a subset of ML that uses deep neural networks. 01:19:36 Carlos X Soto: everything else in ML that isn’t deep learning is now often called “classical machine learning" 01:19:36 Percy Zahl: Thanks, yes I know about RL! I have a future or in planning project related and need to figured out how best to merge results from “image input” to actual action to take next… little like adventure game control. 01:21:07 Percy Zahl: Ok, thanks… will get back k to you by email 01:21:33 Carlos X Soto: I recommend looking at research into game playing. Look at “Atari Grand Challenge” 01:27:02 Yuan Gao: Hi, where can we see the recorded video? 01:27:15 Timothy Topolski: https://indico.bnl.gov/event/11947/timetable/ 01:28:02 Yuan Gao: Thanks 01:31:04 Yihui (Ray) Ren BNL: https://www.bnl.gov/quantumcenter/ 01:31:54 Yihui (Ray) Ren BNL: https://www.bnl.gov/newsroom/news.php?a=213229 01:37:59 prerana: Do you have a preferred tool kit such as TensorFlow/keras/scikit/pytorch etc. 01:43:53 prerana: Thank you 01:44:05 prerana: Yes, that was helpful 01:44:37 Carlos X Soto: Thanks Ray :) Sorry for hijacking the chat a bit 01:44:54 Yihui (Ray) Ren BNL: You are most welcome! Thank you for your comments! 01:46:17 Brian Gallagher: Thanks