The Stanford DailyOpinion

From the Community | AI teaches us another bitter lesson

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.
IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

Autonomous Driving via Knowledge-Enhanced Safe Reinforcement Learning

Abstract: Recently, the autonomous driving technology is at a critical phase evolving from typical, closed scenarios to large-scale, open driving scenarios, which is challenged by the diversity and ...

New Year Resolutions 2026 for Students: Top 25+ Ideas for Academic & Personal Growth

Start 2026 strong with 25+ practical New Year resolution ideas for Indian students. Boost your academic performance, personal ...