logo
episode-header-image
Sep 2024
22m 45s

Open Animal Tracks

Kyle Polich
About this episode

Our guest today is Risa Shinoda, a PhD student at Kyoto University Agricultural Systems Engineering Lab, where she applies computer vision techniques.

She talked about the OpenAnimalTracks dataset and what it was used for. The dataset helps researchers predict animal footprint. She also discussed how she built a model for predicting tracks of animals. She shared the algorithms used and the accuracy they achieved. She also discussed further improvement opportunities for the model.

Up next
Oct 9
Sustainable Recommender Systems for Tourism
In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while promoting more sustainable to ... Show More
38m 2s
Sep 22
Interpretable Real Estate Recommendations
In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores ... Show More
32m 57s
Sep 8
Why Am I Seeing This?
In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender neutral user model" for inferri ... Show More
49m 36s
Recommended Episodes
Aug 2024
AI that connects the digital and physical worlds | Anima Anandkumar
While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real worl ... Show More
12m 14s
Feb 2025
863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter
Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In ... Show More
1h 6m
Feb 2025
π0: A Foundation Model for Robotics with Sergey Levine - #719
Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-ba ... Show More
52m 30s
Jul 16
Can AI Accelerate Science? Dr. Andy Beam on AI’s Next Frontier
Dr. Andy Beam has trained models, mentored scientists, and used data to quantify the value of treatments. In this episode of NEJM AI Grand Rounds, Raj Manrai turns the table on his co-host, reflecting on how Andy’s childhood misdiagnosis, and the failure of human recall, revealed ... Show More
1h 7m
Jul 2024
803: How to Thrive in Your (Data Science) Career, with Daliana Liu
Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling car ... Show More
1h 54m
Aug 2024
CERN’s Supercollider Plan
CERN’s plans to build a bigger, faster particle collider, with a hefty 17 billion Euro price tag, are in question. Physicists Andrew Pontzen and Harry Cliff discuss if the new machine is really worth it. A place on the podium or disappointment in the Olympics can come down to the ... Show More
28m 4s
Jun 2025
#274: Real Talk About Synthetic Data with Winston Li
Synthetic data: it's a fascinating topic that sounds like science fiction but is rapidly becoming a practical tool in the data landscape. From machine learning applications to safeguarding privacy, synthetic data offers a compelling alternative to real-world datasets that might b ... Show More
58m 5s
Mar 2025
The Life Scientific - Anna Korre
As the famous frog once said, it's not easy being green. And when it comes to decarbonising industry, indeed, reducing emissions of all sorts, the task is a complex one.Fossil fuels are used to manufacture some of mankind’s most ubiquitous products, from plastics to cement to ste ... Show More
26m 29s
Sep 2024
The TED AI Show: Can AI predict (and control) the weather? w/ Dion Harris and Tapio Schneider
Cutting-edge technology and vast amounts of data are revolutionizing climate modeling with unprecedented accuracy. So could AI be the crystal ball we need to predict —and even control— Earth's climate? Bilawal sits with Dion Harris, the head of data center product marketing at NV ... Show More
36m 49s