fish fry
Subscribe Now

AI Chronicles: Explainability Vs. Complexity

AI once again takes center stage in this week’s Fish Fry podcast! Johanna Pingel from MathWorks and I discuss the differences between complexity vs. explainability in artificial intelligence, how you will know if explainability is right for your application and how explainability will impact the future of AI. Also this week, I examine how AI could help predict extreme wildfire danger.

 

Click here to download this episode

 

Links for November 4, 2022

More information about MathWorks

Gwangju Institute of Science and Technology Researchers Design AI-based Model that Predicts Extreme Wildfire Danger (GIST)

Deep Learning Provides Substantial Improvements to County-Level Fire Weather Forecasting Over the Western United States (Journal of Advances in Modeling Earth Systems)

 

Click here to check out the Fish Fry Archive.

Click here to subscribe to Fish Fry via Podbean

Click here to get the Fish Fry RSS Feed

Click here to subscribe to Fish Fry via Apple Podcasts

Click here to subscribe to Fish Fry via Spotify

 

Fish Fry Executive Interviews

Anupam Bakshi, CEO – Agnisys

Dave Kleidermacher, CTO – Green Hills Software

Robert Blake, CEO – Achronix

Jack Harding, CEO – eSilicon

Michiel Ligthart, COO – Verific

Simon Davidmann, CEO – Imperas

Jessica Gomez – Rogue Valley Microdevices

Shishpal Rawat, Chairman – Accellera Systems Initiative

Kevin Bromber, CEO – myDevices

Daniel Hansson, CEO – Verifyter

Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

David Dutton, CEO – Silvaco

Bob Niemiec, CEO – TwistThink

Allan Martinson, COO – Starship Technologies

Zhihong Liu, Chairman and CEO – ProPlus Solutions

Taher Madraswala, CEO and President – Open-Silicon

Kapil Shankar, CEO and Director – AnDAPT

Dan Fox, CTO – Local Motors

Kim Rowe, Founder and CEO — RoweBots

Lawrence Cooke, Founder and CEO — NovaSolix

Gregg Recupero, CTO — Performance-IP

Alan Grau, CEO — Icon Labs

Carl Alberty, Vice President – Cirrus Logic

Maximilian Odendahl, CEO — Silexica

Finbarr Moynihan, General Manager — MediaTek

Sanjay Pillay, CEO — Austemper

Louis Parks, CEO – SecureRF

Harold Blomquist, CEO – Helix Semiconductor

Dale Dougherty and Sherry Huss, Co-Founders – Maker Faire

David Su, CEO – Atomic Technologies

Mung Chiang, EVP and Dean of Engineering College – Purdue University

Clay Johnson, CEO – CacheQ

Andy Hock, Vice President, Product – Cerebras Systems

Dan Goehl, Co-founder and Chief Business Officer – UltraSense Systems

Charlie Green, Chief Operating & Technical Officer – Powercast

 

Leave a Reply

featured blogs
Feb 24, 2025
Arduino and Silicon Labs will showcase the Magic Wand demo, which uses the Arduino Nano Matter board with Edge AI ML, at the Austin Edge AI Foundation event....
Feb 20, 2025
Logarithmic gears, hyperboloidal gears, double helical bevel gears, elliptical gears, hypoid gears, helicon gears, spiroid gears, and more....

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,278 views