In educational technology and blended learning areas, teaching presence within the Community of Inquiry framework remains very important for building effective learning environments. Even though ...

Arnab Kar is a founding member of Data Science and Machine Learning considered the new generation of professors; his academic ...

Abhilash has consistently demonstrated his ability to build and lead high-performing global teams, foster innovation, and steer complex, multi-million-dollar digital transformation initiatives.

Physical AI is merging intelligence with action, robots that see, decide, and move—reshaping industries, work, and the future ...

reinforcement learning, and reward modeling. At the heart of this innovation lies Deepseek GRM, an AI judge carefully designed to evaluate responses with unparalleled precision and adaptability.

Ethakota, J. , Singh, B. , Bai, S. , Tareen, H. , Kumar, D. and Malik, D. (2025) The Role of Artificial Intelligence in ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

DLSS (Deep Learning Super Sampling) is an AI upscaling technology formally exclusive to Nvidia's GeForce RTX graphics cards. The technology uses AI to improve performance in real time and offers ...

UM researchers have developed a deep learning model to predict compound ... Hadipour conceptualized the idea and designed the algorithms along with Dr. Pingzhao Hu. Hu is an adjunct professor ...

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL) Implementation of a ...

To address the intricacies of these games, this paper integrates deep reinforcement learning (DRL ... we leverage the Double-Dueling Deep Q-Network (D3QN) and Deep Deterministic Policy Gradient (DDPG) ...