Explore how institutional cryptocurrencies are driving corporate innovation as CFOs balance volatility and compliance with ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Russian leader Vladimir Putin has proposed for Moscow to take full control of the Donbas region and freeze the front lines elsewhere in exchange for ending his nation's war with Ukraine, and President ...

Abstract: The fields of ultrafast and nonlinear photonics have recently experienced remarkable progress, with machine learning emerging as a key driver in many research efforts. These advances ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

Abstract: This paper proposes a novel physics-informed ma-chine learning framework for motion planning and control of autonomous vehicles. By integrating longitudinal and lat-eral control, a nonlinear ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...