An NIH-funded project leverages advanced synapse imaging to monitor real-time neuronal changes during learning, unveiling new ...

It is the year 2035, and society has been fully integrated with artificial intelligence (AI) and robotics. Humanoid robots help humans with tasks from ...

While there are ways to bypass bias through Reinforcement Learning from Human Feedback (RLHF) and fine-tuning, the enterprise ...

Psychology has been instrumental in the evolution of artificial intelligence, offering foundational insights into learning, cognition, and behavior that have shaped key AI technologies.

A data scientist uses mathematics, coding, and industry knowledge to extract insights from complex datasets. They interpret ...

This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's ...

Abstract: This paper proposes a deep reinforcement learning scheme for the primary frequency response of floating offshore wind turbines (FOWTs). Considering the fact that current FOWT simulators ...