fish fry
Subscribe Now

Where Rubber Meets The Road: Simulation, AI Modeling, and The Future of the Automotive Industry

This week’s Fish Fry podcast is all about AI modeling for automotive applications.  Seth DeLand (MathWorks) and I discuss the common challenges that automotive engineers face when implementing simulation into AI modeling, which automotive applications would benefit most from simulation, and why data preparation is a crucial step in the AI workflow during model-based design for automotive applications

 

 

Links for September 8, 2023

More information about MATLAB

More information about Simulink

More information about RoadRunner – MATLAB

Customer Example #1: Gotion, Inc. – Using battery cell charging data stored in Gotion’s cloud data platform to train and validate a neural network to estimate onboard battery pack state of charge using a trained neural network 

Customer Example #2: KPIT – Battery state of health and state of charge estimation using a hybrid machine learning approach Customer 

Example #3: Stellantis – Applying AI technologies to vehicle sensor modeling

 

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

David Mayman, CEO – Mayman Aerospace 

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
Dec 2, 2024
The Wi-SUN Smart City Living Lab Challenge names the winners with Farmer's Voice, a voice command app for agriculture use, taking first place. Read the blog....
Dec 3, 2024
I've just seen something that is totally droolworthy, which may explain why I'm currently drooling all over my keyboard....

Libby's Lab

Libby's Lab - Scopes Out Littelfuse's SRP1 Solid State Relays

Sponsored by Mouser Electronics and Littelfuse

In this episode of Libby's Lab, Libby and Demo investigate quiet, reliable SRP1 solid state relays from Littelfuse availavble on Mouser.com. These multi-purpose relays give engineers a reliable, high-endurance alternative to mechanical relays that provide silent operation and superior uptime.

Click here for more information about Littelfuse SRP1 High-Endurance Solid-State Relays

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

SLM Silicon.da Introduction
Sponsored by Synopsys
In this episode of Chalk Talk, Amelia Dalton and Guy Cortez from Synopsys investigate how Synopsys’ Silicon.da platform can increase engineering productivity and silicon efficiency while providing the tool scalability needed for today’s semiconductor designs. They also walk through the steps involved in a SLM workflow and examine how this open and extensible platform can help you avoid pitfalls in each step of your next IC design.
Dec 6, 2023
62,572 views