Florida Python Challenge returns after last year’s record removal

FWC announces winners of the 2025 Florida Python Challenge TAMPA, Fla. (WFLA )— In just about a week, registered participants ...

Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Aalto University

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Analytics Insight

Best Physical AI Development Tools and Frameworks in 2026

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
IEEE

Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing

Abstract: Network slicing-based communication systems can dynamically and efficiently allocate resources for diversified services. However, due to the limitation of the network interface on channel ...
IEEE

Reinforcement Learning-powered Effectiveness and Efficiency Few-shot Jailbreaking Attack LLMs

Abstract: The widespread use of large language models (LLMs) has brought about security risks, including biases, discrimination, and ethical concerns. Reinforcement Learning from Human Feedback (RLHF) ...
GitHub

learnalign_data_selection_for_llm_reinforcement_learning_with_improved_gradient_.md

To address data selection for RLVR post-training, LearnAlign is proposed—utilizing "gradient alignment" as a representativeness metric and "success rate $V(\xi)=p(1 ...
GitHub

Deep Reinforcement-Learning-Based Adaptive Classifier

This unique approach uses Reinforcement Learning (RL) to discern shifts in data stream distributions during state transitions. Training an RL agent to recognize these transitions makes it adept at ...