Negative Imaginary (NI) systems theory is an emerging branch of control theory that focuses on the frequency response characteristics of dynamical systems. At its core, the theory exploits conditions ...
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A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...
The PPC referral process was best understood as a dynamic system involving four primary agents: oncologists, interprofessional oncology teams, PPC teams, and the patient and family. Each agent's ...
Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...
Newton’s third law tells us that for every action, there’s an equal reaction going the opposite way. It’s been reassuring us for 400 years, explaining why we don’t fall through the floor (the floor ...
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