As artificial intelligence continues to evolve at an unprecedented pace, a new organization has emerged to address one of the most profound and complex questions of our time: Can machines become ...

As autonomous driving technology advances to address this issue, Deep Reinforcement Learning (DRL) has emerged as a promising approach for teaching vehicles to navigate safely, particularly in ...

Companies like OpenAI and China’s DeepSeek offer chatbots designed to take their time with an answer. Here’s how they work.

Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they ...

Research team developed CLAP, an RL agent for automated penetration testing. It features a coverage mechanism and Chebyshev ...

China has narrowed the AI development gap with the United States to just three months in some areas, because firms such as ...

By Jeremy Engle What is your favorite memory of someone reading to you? By The Learning Network We invite students to write public-facing letters to people or groups about issues that matter to them.

We established a public benchmark dataset with cracks in multiple scales and scenes to evaluate the crack detection systems. All of the crack images in our dataset are manually annotated. Please note ...

Qwen-QwQ - Qwen 2.5 official repository, with QwQ. S1 from stanford - From Feifei Li team, a distillation and test-time compute impl which can match the performance of O1 and R1.

Semantic search goes beyond traditional keyword matching by understanding the contextual meaning of search queries. Instead of simply matching exact words, semantic search systems capture the intent ...

In the evolving field of artificial intelligence, vision-language models (VLMs) have become essential tools, enabling machines to interpret and generate insights from both visual and textual data.