Transforming the Supply Chain Using AI with Max Versace
Max Versace and Joe Lynch talk about transforming the supply chain using AI. Max focuses on making AI more useful in real-world applications, especially in the manufacturing supply chain and industrial industry.
About Max Versace
Dr. Massimiliano Versace is the CEO and co-founder of Neurala. With decades of experience and research in AI and deep learning techniques, Dr. Versace is now focused on making AI more applicable and useful in real-world applications, specifically in the manufacturing and industrial industry. Prior to co-founding Neurala, Dr. Versace co-founded the Boston University Neuromorphics Lab, and worked with government organizations such as DARPA and NASA to develop AI with the ability to learn in real-time, at the edge, and free of traditional constraints of computational hardware. Dr. Versace has spoken at numerous events, including a keynote at Mobile World Congress Drone Summit, TEDx, NASA, the Pentagon, MIT Tech Review’s Future Compute and IMA Sensing Days. His work has been featured in Forbes, CNN, Fortune, MSNBC, the Associated Press, TechCrunch, VentureBeat, and more. He holds several patents and two PhDs: Cognitive and Neural Systems, Boston University; Experimental Psychology, University of Trieste, Italy.
Neurala is a pioneer in vision AI software. On a mission to make AI more applicable and useful in real-world applications, Neurala helps industrial companies improve their quality inspection process, with technology that dramatically reduces the time, cost and skills required to build and maintain production-quality custom vision AI solutions. Founded in 2006, Neurala’s research team invented Lifelong-DNN™ (L-DNN) technology, which lowers the data requirements for AI model development and enables continuous learning in the cloud or at the edge. Neurala is headquartered in Boston, MA with a European subsidiary in Trieste, Italy.
Key Takeaways: Transforming the Supply Chain Using AI
- Artificial intelligence (AI) is being used to transform the supply chain from incoming materials, through production, quality inspection, packaging, and shipping.
- Companies are using AI to reduce costs, improve quality, and streamline operations.
- In the podcast interview, Max explained the basics of artificial intelligence and some applications that are already transforming the supply chain.
- Application 1: Visual Quality Inspection for Surface Defects. AI can inspect surface to determine defects. This work is difficult and boring for humans so AI can do the job more effectively and efficiently.
- Application 2: Incoming Materials Quality and Quantity Inspection. AI can be taught to check dozens of factors on incoming parts and materials, which ensures that production quality and quantity targets are met.
- Application 3: Electronic Component Vision Inspection. For the quality inspection of electronic components, AI solutions for electronic component inspection provides a much lower cost of implementation than traditional Automated optical inspection (AOI) machines so that electronics manufacturers can offer their customers higher quality without high costs.