Intel appoints Lip-Bu Tan as CEO, continuing Gelsinger's foundry strategy, which I believe is doomed to fail and a red flag ...

In the breakneck pace of today’s AI-powered world, businesses are slammed with roadblocks: scattered data choking work ...

By analyzing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

By now, most of us are familiar with the fact that TSMC operates a significant amount of trailing edge manufacturing capacity ...

New computational modeling of avian influenza variants' immunoprotein interactions—developed by a research team at the ...

HPE news from Nvidia GTC includes a new Private Cloud AI developer kit, Nvidia AI blueprints, GPU optimization capabilities, ...

Edge computing efforts are transforming data processing and dramatically decreasing latency. Envision an autonomous car making a split-second decision or a hospital analyzing a patient’s data in ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

The dynamic system of vehicles and servers is modeled as an undirected graph, with nodes corresponding to servers/vehicles and edges capturing the intensity of task competition. Tasks are modeled as ...

St. Petersburg University of Aerospace Instrumentation. For system tasks we could form a rate of messages flows between nodes of different type’s matrix L. The value of element Lij of this matrix is ...

Space is an ideal environment for edge devices. Connectivity to datacenters on Earth is severely constrained, so the more processing that can be done before data is transmitted to a terrestrial ...