In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Department of EECS, University of California at Berkeley, 485 Soda Hall, Berkeley CA 94720-1776, USA Previously at: Institute for Adaptive and Neural Computation, University of Edinburgh, UK.

The Machine Intelligence from Cortical Networks (MICrONS) Project has built the most detailed wiring diagram of a mammalian ... and organization of the visual system. "The MICrONS advances ...

From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought unattainable: building a complete functional wiring diagram of a portion ...

Leica Geosystems, part of Hexagon, and Develon, formerly Doosan Construction Equipment, today announced the launch of the Leica MC1 3D machine guidance system as a retrofit option for their latest ...

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution ...

"In the world of machine learning, staying ahead ... business metrics 🎯 Build a modular architecture that allows for component-level updates without system-wide rebuilds 🎯 Establish a ...

offers a promising solution to tackle learning challenges in IoT environments. However, the inherent mechanism of FL often results in significant communication overhead, which poses challenges in ...