Wafer-scale 2D magnetic films emerge thanks to a new low-defect growth technique

In a major advance, researchers at the Indian Institute of Science (IISc) have devised a method to grow high-quality 2D ...
IEEE

Design of Carbon Dioxide Concentration Prediction Model Based on Neural Network

Abstract: The convergence of BP neural networks is often affected by learning rate and error gradient. Small values are usually set to reduce the oscillations in the ...
IEEE

Continual Learning-Based Neural Network With Time Embedding for Silicon Content Prediction in Blast Furnace

Abstract: The prediction of molten iron silicon content ([Si]) is crucial for blast furnace operation. Nowadays, neural networks are emerging as the most advanced model for [Si] prediction tasks.
SiliconANGLE

Cato Networks launches modular adoption model for SASE Platform

Cloud networking company Cato Networks Ltd. today announced a new modular adoption model for the Cato SASE Platform that allows organizations to start with the capabilities they need today and expand ...
Network World

Arm shifts course, moves into silicon business

For 36 years, Arm Holdings made CPU designs and licensed them to anyone who wanted them, who then designed and made their own custom modifications. But that is changing. Arm has announced its ...
SiliconANGLE

The agentic era: How Palo Alto Networks is turning security into a business enabler

For years, the relationship between cybersecurity and business innovation has been a zero-sum game. Security teams were the “Department of No,” tasked with slowing down adoption to ensure safety.