Lifeboat Foundation

Artificial intelligence has possibly been the most popular term in 2023 so far – many industries are starting to explore new problem-solving possibilities thanks to machine learning technologies. The automotive industry isn’t lagging behind with many companies already using AI for different tasks within their research and development divisions. Toyota now announces it is starting to research AI-based car design thanks to its generative artificial intelligence technique developed by the Toyota Research Institute (TRI).

Don’t worry – your next Tacoma truck won’t have a purely AI-designed exterior. Instead, Toyota wants to use the technology in the early design stages where different iterations of a certain project are needed for engineering considerations. Or, simply put, if the automaker decides to build a new large two-door coupe, it could ask AI to generate a number of early designs based on preset parameters. Such is the case with the rendering you see attached at the top of this article – it has been created by artificial intelligence.

In a scientific first, researchers have used machine learning-powered AI to design de novo enzymes — never-before-existing proteins that accelerate biochemical reactions in living organisms. Enzymes drive a wide range of critical processes, from digestion to building muscle to breathing.

A team led by the University of Washington’s Institute for Protein Design, along with colleagues at UCLA and China’s Xi’an Jiaotong University, used their AI engine to create new enzymes of a kind called luciferases. Luciferases — as their name implies — catalyze chemical reactions that emit light; they’re what give fireflies their flare.

“Living organisms are remarkable chemists,” David Baker, a professor of biochemistry at UW and the study’s senior author, said.

Our first delivery with DOM Drone by Flirtey, from the Whangaparaoa store in New Zealand!

DOM (previously known as ‘DRU’) is the personality behind Domino’s innovative customer-facing technology, including our bots, autonomous delivery vehicle, drone and Pizza Checker. He is cheeky and endearing, but most importantly he puts the customer at the heart of everything he does. Rebranded to ‘DOM’ in 2019, he is our newest recruit and helps our team members to create efficiencies in their jobs.

From Kasparov’s chess career to Steve Jobs’ bicycle, we already know how to approach these new AI tools. The real question: Will you master them before your competition does?

The competition between digital currencies and artificial intelligence for the hearts and minds of tech innovators — and the wallets of venture capitalists — reflects a more general dichotomy.

AI tools can improve engineering productivity so that a team of five operates with the productivity of 20, the CEO of manufacturing firm Fictiv said.

The secret mode, which the hacker nicknamed “Elon Mode,” allows for completely hands-free driving during Full Self-Driving mode.

Dystopian hype around technology is just a sales pitch.

The above considerations have to be carefully factored in while selecting the approach to model different subsystems and modules, hardware or physics-based twins in the digital twin.

Data recording and logging are crucial components of any digital twin project. This data not only serves as the basis for simulation and testing but also facilitates debugging, system optimization and performance analysis. Effective data recording strategies can also assist in the validation of model assumptions, further enhancing system accuracy and reliability.

Digital twins are not merely simulation tools; they represent a fundamental shift in the way we can plan, design, deploy and optimize robotic automation systems in warehouses. A well-designed digital twin, factoring in the aspects outlined in this article, empowers reliable, predictable and efficient order fulfillment, catalyzing innovation and progress in customer satisfaction.