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 ...
GitHub

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

All modules require Python 3.6 or above. Note that support for Python 3.7 in TensorFlow is experimental at the time of writing, and requirements may need to be ...
GIGAZINE

Cursor's new model, 'Composer 2.5,' is an AI agent aiming for GPT-5.5 level coding performance at a low cost.

Anysphere, the developer of the AI code editor 'Cursor,' has announced a new model for its coding agent, 'Composer 2.5.' Composer 2.5 is available on Cursor and is said to be significantly improved ...
Ars Technica

Anthropic blames dystopian sci-fi for training AI models to act “evil”

After a model’s initial training on a large corpus of mostly Internet-derived data, Anthropic follows a post-training process intended to nudge the final model toward being “helpful, honest, and ...
GitHub

Reinforcement Learning in Python

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...
IEEE

Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks

Abstract: This study proposes a novel two-stage framework that integrates Digital Twin (DT) with Reinforcement Learning (RL) for failure prediction in optical communication networks. The framework ...
VentureBeat

Databricks built a RAG agent it says can handle every kind of enterprise search

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...