205. 2024 Recap & 2nd Annual Saucies!🥫🍾

The Next Byte Podcast · 7 Jan 2025 · 36m

AI in practice: 4 real uses of AI described

What this episode covers

The hosts of The Next Byte Podcast present their 2024 'Saucies' awards, reviewing ten standout episodes from the past year. They highlight technologies ranging from AI-generated 3D design by Raymond Whitekamp and neuroprosthetics from ETH Zurich to Dyson’s automated strawberry farm and Stanford’s mobile Aloha robot. The discussion also covers practical applications like Audi’s use of 3D printed jigs, MIT’s AI doctor co-pilots, and smart traffic systems from the University of Michigan, concluding with an interview on AI safety with Karsten Roscher from the Fraunhofer Institute.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationAny3D

An AI system used ChatGPT to generate code that controlled CAD software to automatically design and create 3D objects from text descriptions.

“The 1st part was chat GPT, essentially. You have an LLM that would take whatever input you gave … And then it would feed it into code that was hooked up to some sort of, you know, CAT system … that used code to generate that object.”

Speaker 1 · Hear it at 4:16

ManufacturingAudidemand for jigs went up to a couple 100

Audi used generative design software to allow non-designers to create custom 3D-printed jigs for the assembly line, increasing the number of jigs produced from a few to hundreds.

“there was a software that we discussed, which allowed someone that might not even know how to do mechanical design, to just kind of explain what they want to do, and it would kind of help you generate your idea and get it printed pretty easily.”

Speaker 1 · Hear it at 20:34

Engineering & simulationStanford University / Toyotacomplete over 850 common household tasks

Researchers used imitation learning to train a robot to perform complex tasks like frying shrimp by observing human control, enabling it to complete over 850 household tasks faster than traditional programming.

“they created a robotic platform that was capable of learning tasks through imitation rather than programming. So they used artificial intelligence and machine learning to help a robot learn how to do something, as it was being controlled by a human…”

Speaker 2 · Hear it at 13:39

Running the companyUniversity of Michigansave the extent of about 3 days of person's life every year

Researchers used AI to control smart stoplights in response to GPS data from connected cars, reducing commute times and saving approximately three days of a person's life per year.

“They were able to, they tested this in a small city, um, by connecting GPS to connected cars and then having smart stoplights that can be controlled. Um, essentially in response to traffic data. They were able to think, or they could save the extent of about 3 days of person's life every year…”

Speaker 2 · Hear it at 29:09

Mentioned

Companies
Mouser Electronics, Dyson, Audi, Toyota
Also
Raymond Whitekamp, ETH Zurich, Stanford University, George Mason University, Texas A&M, MIT, University of Michigan, Karsten Roscher, Fraunhofer Institute

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