Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

AI-powered tools are enhancing precision, efficiency, and decision-making in biopharmaceutical development. Recently, Jared ...

A neuroscience breakthrough has been achieved using AI to identify neuron cell types from the brain activity recordings of ...

Read about the Army's award of an IDIQ contract and a task order to QinetiQ US to support ARL's data collection and management and AI development efforts.

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the ...

# In short, structure is essential for AI to drive efficiency and insight. Scaling AI without guardrails will cause problems for businesses. A competitive advantage can be gained by investing early in ...

Let's explore the nuances of the B2B telco sector, outlining a strategic blueprint for CVM vendors to empower telcos with ...

In more unconventional domains like chaos-based secure optical communication and photonic reservoir computing, ML enables the ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

AI and ML are not just about creating models, they’re about constructing integrated solutions. By Yuval Fernbach ...

Data science has revolutionized the hunt for high-performing catalysts, enabling scientists to quickly identify and test suitable materials.

The integration of data science into electrocatalysis has significantly advanced the discovery of high-performance catalysts for sustainable energy ...