Homecoming: University of Trieste, 2022
Excited to visit my beloved Università degli Studi di Trieste at the 2022 Homecoming event (Dec 14th, Trieste)
AI, academia => real-world
Excited to visit my beloved Università degli Studi di Trieste at the 2022 Homecoming event (Dec 14th, Trieste)
Artificial Intelligence, Automation and robotics can help people to build a more sustainable and human centric world. In this video realized in collaboration with Industrial Machines Manufacturer IMA and Neurala I…
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…
I had the pleasure to join Roberto Di Lenarda, President of my alma mater Università degli Studi di Trieste, and Alessia Rosolen, “Assessore regionale al lavoro, formazione, istruzione, ricerca, università…
Fin dalla sua fondazione, l’obiettivo di Neurala è stato quello di portare sul mercato un’intelligenza artificiale (IA) sofisticata e in continuo apprendimento per aumentare l’utilita’ e l’intelligenza di macchine e…
Artificial intelligence startup Neurala Inc. today added “explainability technology” to its vision AI software that it says can identify objects in an image that present an anomaly or cause other problems.
(originally published in SupplyChainBrain) For a child growing up in Northern Italy, Christmas arrived in a stream of festive decorations, hearty meals, church masses, and festivals. But the opening of…
Vision AI software company Neurala announced today a new strategic partnership with global manufacturing leader IMA Group. The partnership will deliver AI solutions for industrial machines, focused on field testing…
Vision AI software company Neurala announced the launch of its Neurala VIA Authorized Partner program, to help manufacturers leverage the power of vision AI to improve quality inspection and adapt…
There has been a lot of hype around the potential for AI in the manufacturing industry, but historically, AI has been too expensive or complex to deploy at scale. But…