From global federations to specialist bodies, these associations provide the education, advocacy and thought leadership ...

Abstract: Deep neural networks (DNNs) are extensively employed in synthetic aperture radar (SAR) automatic target recognition (ATR) systems; however, their security and reliability pose significant ...

AI enables precision and speed across core functions. In planning, machine learning synthesizes real-time market trends and external factors to drive forecast accuracy improvements. For warehousing ...

With the holiday season right around the corner, Amazon one-day deliveries have been on the up and up. The service is cheap, efficient and most importantly, arrives within a day. But how does an ...

2025 Digital Freight Matching Roundtable: From spot chaos to smart capacity AI-driven digital freight matching platforms are transforming the brokerage landscape, helping shippers and carriers ...

Supply chain resilience and AI readiness start with location-based data Supply chain resilience and AI readiness increasingly depend on source-level and location-based data that gives organizations ...

ASCM’s docuseries “The Chain” debuts on Amazon Prime, revealing global supply chain innovation through expert insights and cinematic storytelling. "The Chain was created to spark conversation, raise ...

Department of Chemistry, University of Texas at Austin, Welch Hall 4.428, 105 E. 24th St. Stop A5300, Austin, Texas 78712-0165, United States ...

36th Annual State of Logistics Report: Navigating uncertainty amid rising costs and global disruptions The 36th Annual State of Logistics (SoL) Report highlights a logistics market tested by economic ...

The last thing you want as the owner of a logistics business is a staff that doesn’t know what they’re doing. With all the moving parts associated with this industry, hiring employees who are ...

In the rapidly evolving global logistics environment, the idea of “set it and forget it” for supply chain education is firmly behind us. Developing programs meant to last for years without significant ...