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Tag: digitaltwins

How AI digital twins help weather the world’s supply chain nightmare

Covid-19 has shined a spotlight on many of the world’s networks, from the internet to international air travel. But the supply chains that crisscross the world—the ships and trucks and trains that link factories to ports and warehouses, bringing almost everything we buy many thousands of miles from where it’s produced to where it’s consumed—are facing more scrutiny than they ever have. “It’s fair to say that whatever you’re selling, you’ve got a problem right now,” says Jason Boyce, founder and CEO of Avenue7Media, a consulting firm that advises top Amazon sellers….

University of Manchester becomes European centre for leading AI research

Magnus Rattray (IDSAI Director and ELLIS Health Programme Fellow) said: “The University of Manchester continues to grow as a centre of excellence for AI research and the new ELLIS unit will further strengthen this activity. Our new Chair in AI, Samuel Kaski, was recently awarded a Turing AI World-leading Researcher Fellowship with an ambitious programme of research on human-AI teams with applications to drug design, synthetic biology and digital twins.“Through the new ELLIS unit Manchester will be able to better link machine learning researchers…

DSC Weekly Digest 9 November 2021: Standardizing the Metaverse

In the DSC November 2 editorial, I posed a question I’ve wondered about for a while. Why is it so hard to create a shared-reality world, whether it’s called Virtual Reality, Artificial Reality, Extended Reality, Digital Twins, or any of a number of other terms? And for that matter, what does it matter to data scientists?
It turns out that the answer to the first question is actually highly relevant to data scientists. In order to share a virtual world, you need to have a common conceptual framework about how things are represented in that world. 
This is not just a matter of saying that…

Combining Physics and Deep Learning

What are Digital Twins and how do they work?

Photo by Jørgen Håland on Unsplash

Why we shouldn’t expect a metaverse anytime soon (Part II of II)

An orrey or planetarium designed by George Adams showing relative positions of the planets in relation to the sun, 1799, https://www.loc.gov/pictures/item/2006691765.

Part I of II explored the concept of a metaverse or mirrorworld, and pointed out that even enthusiasts like Wired Co-Founder Kevin Kelly and Forbes contributor Charlie Fink believe that a mirrorworld–a dynamic “digital skin” that would usefully represent, monitor and shed insights on the interacting elements of our physical world–could well take 25 years or more to emerge. 

Part I also concluded that the major obstacle to the creation and effective use of a metaverse or mirrorworld will be data (and knowledge, which is contextualized data with supporting relationship logic) management.


AutoScheduler.AI Adds Experienced CTO to Bring Software Development Efforts to the Next Level – DC Velocity

Austin, TX – (September 7, 2021) – AutoScheduler.AI, an innovative Warehouse Management System (WMS) accelerator, announces the addition of Andrew Gibson as Chief Technology Officer to lead the company’s software development efforts to the next level. Andrew is a supply chain industry expert, formerly with Nestle, and has deep expertise in mathematics, which is the cornerstone of artificial intelligence. AutoScheduler.AI smooths operations in a warehouse by integrating seamlessly with warehouse management systems, orchestrating activities across supply chain campuses, and adding value by improving OTIF, managing inventory, and creating dynamic schedules that change as conditions shift.


DSC Weekly Digest 24 August 2021

It’s Gartner Hype Cycle Day! This is roughly analogous to the Oscars for emerging technologies, in which the Gartner Group looks through their telescopes to see what could end up being the next big thing over the course of the next decade. The idea behind the hype cycle is an intriguing concept – emerging technologies seem to come out of nowhere, explode into prominence while the technology is still less than fully mature, then seemingly disappear for a while as the promise of the hype gives way to the reality of implementation and real-world problems. Once these are worked out, the technology in question gets adopted into the mainstream.

The hype cycle is frequently the source of investor bingo, where young startups pick a term that most closely reflects their business model, then pitch it to angel investors to provide supporting evidence that their product is worth investing in.