Quantum computers could rapidly solve complex problems that would take the most powerful classical supercomputers decades to ...
Systems like OpenAI’s GPT-5 are accelerating research in math, biology and chemistry. But there is a debate over whether it ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Deepfakes are no longer a future risk. They are already influencing fraud investigations, court proceedings, and digital ...
Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...
Abstract: This paper proposes a novel deep reinforcement learning (DRL) based method for unmanned underwater vehicle (UUV) path-following and collision avoidance. An end-to-end architecture ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Abstract: A Hessian-based optimization framework for accelerating the antenna design process is presented. This approach relies on leveraging the second-order derivatives of an objective function to ...
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