Overview The best AI engineer courses 2026 focus on building real, job-ready projects.Combining AI engineering basics with LLM engineering leads to stronger car ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way ...

Abstract: In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for ...

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 ...

Individuals with chronic opioid use, whether addicted or not, show heightened learning from negative reinforcement, suggesting that avoidance behavior may underlie both the development and persistence ...

Opioid users with and without addiction demonstrated significantly greater learning from negative reinforcement. Individuals with chronic opioid use, whether addicted or not, show heightened learning ...

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...