Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Abstract: Asthma exacerbation prediction is critical for preventing severe respiratory complications and improving patient outcomes. Traditional predictive models rely on static machine learning ...
Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs ...
Meta has now rolled out the "Build Your 2026 Algorithm" feature for Instagram Reels to allow users use it to personalize their feeds. Instagram Reels 'Build Your 2026 Algorithm' Now Live After a test ...
One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...
This image shows the response of suspected PPO-inhibitor–resistant [A92 (R)] and known susceptible [A66 (S)] waterhemp (Amaranthus tuberculatus) populations from Wisconsin, 28 days after treatment ...
The U.S. Supreme Court’s 6–3 ruling striking down President Trump’s IEEPA tariffs reshapes the legal landscape of U.S. trade policy but leaves… Finish the year with a clearer view of the freight ...