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
Jul 6
The Network Diversion Problem
In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing on specific structural aspects of the input. This framework allows researchers ... Show More
46m 14s
Jun 28
Complex Dynamic in Networks
In this episode, we learn why simply analyzing the structure of a network is not enough, and how the dynamics - the actual mechanisms of interaction between components - can drastically change how information or influence spreads. Our guest, Professor Baruch Barzel of Bar-Ilan Un ... Show More
56 m
Jun 22
Github Network Analysis
In this episode we'll discuss how to use Github data as a network to extract insights about teamwork. Our guest, Gabriel Ramirez, manager of the notifications team at GitHub, will show how to apply network analysis to better understand and improve collaboration within his enginee ... Show More
36m 46s
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 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
Apr 2021
AI Today Podcast: Leading Data Scientists The Right Way, Interview with Ylan Kazi, UnitedHealth Group
As organizations continue to hire more data scientists it’s important to make sure they are being utilized to emphasize their skill sets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Ylan Kazi, Vice President, Data Science and Machine L ... Show More
25m 39s
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
Dec 2024
Adam Brown – How Future Civilizations Could Change The Laws of Physics
Adam Brown is a founder and lead of BlueShift with is cracking maths and reasoning at Google DeepMind and a theoretical physicist at Stanford.We discuss: destroying the light cone with vacuum decay, holographic principle, mining black holes, & what it would take to train LLMs tha ... Show More
2h 43m
Apr 2024
Computational Engineering - Josefine Lissner | Podcast #114
🌍 LEAP71: https://leap71.com/ 🌍 PicoGK: https://leap71.com/picogk/ Josefine Lissner is an early pioneer in the field of Computational Engineering. Some of her work has been hailed as a historic milestone in physical designs and 3D-printing. Josefine uses computer code to build ... Show More
38m 6s
Jul 1
901: Automating Legal Work with Data-Centric ML (feat. Lilith Bat-Leah)
Senior Director of AI Labs for Epiq Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving d ... Show More
1h 6m