Our guest today is Samuel Cohen, PhD student at University College London (UCL) and visiting research scientist at Facebook AI Research (FAIR). In our conversation, we first dive into Samuel's first experience in AI, an internship at Check Point Software Technology where he developed a Machine Learning algorithm to detect malicious software (malware) on An ... Show More
Apr 2025
Polars: Fast & Efficient Data Manipulation with Ritchie Vink #60
Our guest today is Ritchie Vink, CEO & Founder of Polars: an open source data manipulation library known for being extremely fast. As of today, polars has over 32k stars on github. In our conversation, Ritchie first explains how Polar which started as a side project evolved to wh ... Show More
42m 46s
Sep 2023
The Defeat of the Winograd Schema Challenge
Our guest today is Vid Kocijan, a Machine Learning Engineer at Kumo AI. Vid has a Ph.D. in Computer Science at the University of Oxford. His research focused on common sense reasoning, pre-training in LLMs, pretraining in knowledge-based completion, and how these pre-trainings im ... Show More
31m 3s
Aug 2021
Adaptivity in Machine Learning with Samory Kpotufe - #512
Today we’re joined by Samory Kpotufe, an associate professor at Columbia University and program chair of the 2021 Conference on Learning Theory (COLT).
In our conversation with Samory, we explore his research at the intersection of machine learning, statistics, and learning the ... Show More
49m 58s
Apr 2023
2335: How Visual Content is Unlocking New Opportunities for Data-Driven Businesses
On today's episode of Tech Talks Daily Podcast, I am joined by Cody Coleman, the inspiring co-founder, and CEO of Coactive AI, a Cloud 100-recognized startup transforming how organizations analyze and search image and video data. Cody shares his remarkable personal journey, from ... Show More
33m 26s
Jan 2025
Fraud Detection with Graphs
In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll learn how graphs are used to detect malicious activity in networks, such as ident ... Show More
37m 23s
Mar 2020
345: Machine Learning At Twitter
I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.
In this e ... Show More
1h 12m
<p><span style="color: #333333;">Kevin is a Computer Scientist, part-time lecturer at Paul G. Allen School of Computer Science & Engineering, and research partner at OSAM. Our discussion with Kevin revolves around:<br /></span></p> <ul> <li><span style="color: #333333;">What is M ... Show More
