We need leaders who can make sense of a complex, rapidly changing world and guide their organizations and communities toward ...

Attosecond pulses enable sub-femtosecond studies of ultrafast electron dynamics. Since 2001, pulse durations have shortened ...

Scientists demonstrate reinforcement learning on photonic chips that compute using optical spikes instead of electronic signals.

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Researchers from Skoltech have published a paper in the journal Physica D: Nonlinear Phenomena presenting an analysis of steady propagating combustion waves—from slow flames to supersonic detonation ...

Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...

Abstract: The Takagi–Sugeno (TS) fuzzy control design method has been widely utilized for nonlinear system control due to its ability to approximate complex system behaviors. Traditionally, TS fuzzy ...