The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...
Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...
This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly ...
EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided ...
Generative AI (LLMs) has already shown some promise in healthcare and social robotics. In healthcare, it is used to enhance clinical decision-making, ...
Abstract: Gaussian process (GP) offers a robust solution for modeling the dynamics of unmanned surface vehicles (USV) in model-based reinforcement ... neural networks model predictive control (PNMPC) ...
Abstract: The next generation of wireless systems will leverage the millimeter-wave (mmWave) bands to meet the increasing traffic volume and high data rate requirements of emerging applications ...
DeepSeek challenged this assumption by skipping SFT entirely, opting instead to rely on reinforcement learning (RL ... infrequent edge cases in real-world applications — and they can be ...
This synergy enhances neural shader performance and transitions the deep learning model used by many DLSS functions from traditional convolution to a more powerful Transformer network ...
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