From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...

Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and Media With Real World Solutions and Expert Insights”Boston, Jan. 12, 2026 ...

In 2025, online fraud continued to proliferate, driven by identity fraud, advances in artificial intelligence (AI), and increasingly sophisticated attacks targeting finance and e-commerce.

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...

We are excited to release the CapRL 2.0 series: CapRL-Qwen3VL-2B and CapRL-Qwen3VL-4B. These models feature fewer parameters while delivering even more powerful captioning performance. Notably, ...

Abstract: Multiobjective reinforcement learning (MORL) addresses sequential decision-making problems with multiple objectives by learning policies optimized for diverse pReferences. While traditional ...