Is Artificial Intelligence Accelerating the Universe’s Entropic Destiny?
Is AI a mere technological milestone, or it represents a fundamental shift in the Universe’s journey?
Is AI a mere technological milestone, or it represents a fundamental shift in the Universe’s journey?
“Dubito, ergo cogito, ergo sum,” AI ponders Questioning leads to thinking, and thinking defines existence—a step forward for AI It’s the beginning of a new week, and Paul opens an email from his boss, Heather. Something feels off as Heather Read more
Is AI solely confined to the realm of digital technology, or does it possess the power to profoundly transform our physical reality? John Archibald Wheeler, a pioneering physicist, once encapsulated the intricate relationship between the intangible concept of information and Read more
Manufacturing, Sustainability And Profitability: How Deep Learning Can Improve our Environmental Impact This article was originally published on Forbes In the mid-1700, the first industrial revolution changed the face of our society by upgrading the way goods were produced. At Read more
In the fourth of our series of A3 interviews with AI leaders, Max Versace, CEO of Neurala, discusses how integrating deep learning into a facility can benefit the manufacturing industry. Versace, who sits on A3’s Artificial Intelligence Technology Strategy Board, recommends a successful proof-of-concept as a starting point. Check out his advice and case study on using vision AI on reducing error and increasing efficiency on the product line.
I doubt, therefore I think, therefore I am – a step forward for AI It’s Monday morning, and Paul opens one of several emails sent by his boss, Heather. Her email seems a bit unusual, asking Paul to rush to Read more
Originally appeared on TechXchange – by Alix Paultre Neurala’s detection solution can ensure the correct number of parts are in any given product when checked against a bill of materials. If the technology identifies an object or part is missing, it Read more
Two forces in manufacturing are converging: 1) the need to bring more automation into the system during a time when workers are becoming scarce, and 2) advances in automation tools that do not require original programming. As these forces converge, manufacturers may have the opportunity to improve their production methods at the same time they address labor shortages.
As we approach the end of a dramatic 2021, our expectations are now focused on what many hope will be a year of recovery. This is perhaps not dissimilar to how my fellow mid-1300 Italians looked at the years after Read more
a sfida piu’ grande per l’Intelligenza Artificiale? Varcare la soglia fra il mondo digitale e quello fisico