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Jay Shah
Registrace 6. 01. 2019
Interviews exploring different applications of Machine Learning in industry and academia and getting started with it.
Homepage: www.public.asu.edu/~jgshah1/
Webinars available as podcasts: jayshah.buzzsprout.com
Homepage: www.public.asu.edu/~jgshah1/
Webinars available as podcasts: jayshah.buzzsprout.com
Video
Instruction Tuning, Prompt Engineering, & Self Improving LLMs | Dr. Swaroop Mishra
zhlédnutí 1,6KPřed 23 dny
Swaroop is a research scientist at Google-Deepmind, working on improving Gemini. His research expertise includes instruction tuning and different prompt engineering techniques to improve reasoning and generalization performance in large language models (LLMs) and tackle induced biases in training. Before joining DeepMind, Swaroop graduated from Arizona State University, where his research focus...
Role of Generative AI in improving medical research. #llm #medicalresearch #generativeai #podcast
zhlédnutí 105Před 3 měsíci
Role of Large Language Models in AI-driven medical research | Dr. Imon Banerjee
zhlédnutí 545Před 3 měsíci
Dr. Imon Banerjee is an Associate Professor at Mayo Clinic in Arizona, working at the intersection of AI and healthcare research. Her research focuses on multi-modality fusion, mitigating bias in AI models specifically in the context of medical applications & more broadly building predictive models using different data sources. Before joining the Mayo Clinic, she was at Emory University as an A...
How Google Maps use AI to improve travel time predictions in real time! #graphanalysis #ailearning
zhlédnutí 137Před 8 měsíci
How Google Maps uses AI to improve travel time predictions
zhlédnutí 198Před 8 měsíci
Full conversation with Peter: czcams.com/video/oNEE7jKYjc4/video.html Dr. Petar Veličković is a Staff Research Scientist at Googe DeepMind and an Affiliated lecturer at University of Cambridge. He is known for his research contributions in graph representation learning; particularly graph neural networks and graph attention networks. At DeepMind, he has been working on Neural Algorithmic Reason...
Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
zhlédnutí 1,7KPřed 9 měsíci
Dr. Petar Veličković is a Staff Research Scientist at Googe DeepMind and an Affiliated lecturer at University of Cambridge. He is known for his research contributions in graph representation learning; particularly graph neural networks and graph attention networks. At DeepMind, he has been working on Neural Algorithmic Reasoning which we talk about more in this podcast. Petar’s research has fea...
We are inside the experiment! #chatgpt #largelanguagemodels #ai #machinelearning
zhlédnutí 112Před 9 měsíci
Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang
zhlédnutí 892Před 9 měsíci
Dr. Yezhou Yang is an Associate Professor at Arizona State University and director of Active Perception Group at ASU. He has research interests in Cognitive Robotics and Computer Vision, and understanding human actions from visual input, and grounding them by natural language. Prior to joining ASU, he completed his PhD from University of Maryland and his postdoctoral at Computer Vision Lab and ...
What is working at Google’s DeepMind really like? Dr. David Stutz, RS at DeepMind #google #deepmind
zhlédnutí 1,6KPřed 11 měsíci
Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson
zhlédnutí 267Před rokem
Dr Hyrum Anderson is a Distinguished Machine Learning Engineer at Robust Intelligence. Prior to that he was Principal Architect of Trustworthy Machine Learning at Microsoft where he also founded Microsoft’s AI Red Team; he also led security research at MIT Lincoln Laboratory, Sandia National Laboratories, Mendiant and was Chief Scientist at Endgame (later acquired by Elastic). He’s also the co-...
Being aware of Systematic Biases and Over-trust in AI | Meredith Broussard
zhlédnutí 224Před rokem
Meredith is an associate professor at New York University and research director at the NYU Alliance for Public Interest Technology. Her research interests include using data analysis for good and ethical AI. She is also the author of the book “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and we will discuss more about this with her in this podcast. Time stamps of the ...
Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz
zhlédnutí 11KPřed rokem
Part-2 of my podcast with David Stutz. (Part-1: czcams.com/video/J7hzMYUcfto/video.html) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind he was a PhD student at Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to ...
Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale
zhlédnutí 739Před rokem
Rora helps top AI researchers and professionals negotiate their pay often as they transition from academia into industry. Moving into tech is a huge transition for many PhDs and post-docs the pay is much more significant and the terms of employment are often quite different. In the past 5 years, the Rora team has helped over 1000 STEM professionals negotiate more than $10M in additional earning...
Part-1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz
zhlédnutí 949Před rokem
Part-1 of my podcast with David Stutz. (Part-2: czcams.com/video/IumJcB7bE20/video.html) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind he was a PhD student at Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to ...
Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati
zhlédnutí 1,8KPřed rokem
Dr. Subbarao Kambhampati is a Professor of Computer Science at Arizona State University and the director of the Yochan lab where his research focuses on decision-making and planning, specifically in the context of human-aware AI systems. He has been named fellow of AAAI, AAAS, and ACM in recognition of his research contributions and also received distinguished alumnus award from the University ...
great podcast! swaroop had some really good insights.
Clear explanation as 5th standard person can understand
LLMs LLMs.... KIDS, KIDS 👀
I love how Swaroop uses analogies to convey ideas. I wonder if that’s also his strategy for developing understanding of abstract concepts :)
Bookmark
Bookmark: 28:58
Google later: 1:37:44
So effective ❤
I am ML researcher, your podcasts inspires me a lot and are very informative. Thankyou for sharing
Petar is very humble and fun to listen to. Also, some really valuable tips for early-career researchers!
its funny how the most videos technically informative videos are so least sought after. The beginer stuff is popular the actually rewarding expert stuff is not.
video aacha he but add kaam daal bhai
As someone’s who is also researching from IISc on multi modal research in healthcare specifically treating post operative patients recovery, really loved this episode. As always you keep bringing such great content & researchers on your pod with some really interesting insights 😇✨
one of the most techincally sound podcast!
Is Nvidia pays well to PM role .
Great podcast! I am forever going to stick with - "You don't have to keep working on your weaknesses all the time. Just let your Strengths shine!"
Renee is really articulate and amazing suggestions and thoughts. Loved the episode!
Natasha is great man!
The resume architect who assisted millions in crafting their resumes.
This is great session, kudos Jay and Amey for putting this together :)
Being a master's student of Computer Science, I really enjoyed the podcast and learnt a lot while watching it. Thankyou Jay and David, for this amazing podcast and your time!
Heyyy it's Rao! My original grad advisor :). Working at Google now, and I attribute so much of my interest in grand concepts to the conversations that happened every day in that lab. This seems like yesterday czcams.com/video/LHCnyAT3wx4/video.html
Very informative session. Thanks a lot for arranging this discussion
you uploaded to pupload-Jay!😉
ABC of democracy is that the guys who has power should not exercise the power and the guys exercise the power should not have power.
what a beautiful talk.
Great video. Recently I got shortlisted for a Google interview for the Software Engineer (ML) role. In my experience I never used DSA, but I know a few concepts that literally never used. Can anyone suggest to me a course, and resources needed. Happy to connect!
I am fortunate enough to have some personal interactions with Petar and always find what he says very inspiring and useful. It's always lovely to hear these fruitful conversation.
very insightful. love from india.
Major Takeaway: You cannot wait to talk about your research and present to others. That's why you want results, performance, paper, publication and acceptance. Its how you enjoy the process of Research. <3
I like the podcast topics and personalities you invite to your channel. Showing interest from Toronto - Uni of Toronto - Research Scientist - AI Lab
Excited to listen to this conversation! I've attended Prof. Yang's course before and I adore his humble demeanor
great work
Cool Jay, how do you network with type of peoples ? I'm from india, and looking for remote jobs, it would be really great if provide more info on that! Thanks
Leave it to Subbarao Kambhampati to explain things in a very accessible way. He has not lost form in the last few decades or so of teaching AI and been making AI intuition accessible to ordinary people through these forums. I hope he can continue doing this.
aww.. 🙏
"Promo sm" 😭
Thats such an informative session 🎉
They're combining Brain and Deep Mind into Google Deep Mind, right?
Yeah that’s true
Perfect timing! Thanks Jay.
Superb Content
The aspect of Human memory - non verdical memory - he has given an amazing point, as we compare neural network and brain on neurons level, there is so much to do in memory side as well, I was thinking in the side of "lossy compression" of human beings - how it creates impact - These podcasts, I hear whenever I go for a walk, I have heard hours and hours of podcasts, but only certain aspects I record sticks to my mind, otherwise its a nice fluid of information that I can resonate. I think it puts a another factor on creators to make it "lossless compression" to listeners.
This is a VERY insightful video! Definitely Subscribed.
Amazing interview!
We collaborate with Karyna and Label Your Data team project basis. They’re very professional 👌
1:07:16 great advice, awesome interview overall 👏
Thanks a lot for the interview. Great role model.
This could have been very good podcast if audio was better
Thank you for this interview jay. Surabhi was very insightful and explained very well. Even i as newbee understood lot of things.😊
Thanks for your sharing!!
Hey there! I'm reaching out for some advice on PhD. admissions. I completed my BTech from a college that may not be well-regarded ( it's affiliated to AKTU ), and I had to learn everything on my own from open-source materials provided by renowned institutions like MIT, Stanford, IITs, books, and more. Despite the challenges, I secured a good rank in GATE, which would allow me to pursue my MTech from an older IIT, like IIT Guwahati. My plan is to work for a few years to pay off some family loans before applying to PhD. programs in the USA. However, I'm concerned if my undergraduate degree with a 9.0 CGPA would hinder my chances of getting into reputable PhD. schools in the USA. Your guidance would be greatly appreciated! Thanks in advance.
Hey! Can we connect on LinkedIn or email jgshah1@asu.edu to continue the conversation?