From deep research to image generation, better prompts unlock better outcomes. Here's the step-by-step formula.

Abstract: Phase unwrapping (PU) is a critical process for numerous synthetic aperture radar interferometry (InSAR) applications. The advent of deep learning (DL) has revolutionized PU, with various DL ...

Choosing between these models depends on whether you are prioritizing pure coding power, agentic autonomy, or local ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...

Abstract: The increasing complexity of modern technical systems, coupled with the growing demand for sustainability and safety, necessitates innovative approaches in system development. Model-Based ...

A hands-on tutorial series for building LangGraph agents with local LLMs via Ollama. Each notebook teaches a concept from scratch - no cloud APIs required.

Anthropic CEO Dario Amodei believes software engineers may soon be an extinct species. In an interview with The Economist at the World Economic Forum in Davos, Amodei said AI models could do “most, ...