GitHub

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou, Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning, Advances in Neural Information ...
IEEE

Educational Psychology-Empowered Personalized Learning Path Generation Strategy

Abstract: In e-learning, high-quality learning path generation can meet learners’ personalized demands and solve their cognitive disorientation dilemma. However, existing learning path generation ...

Machine Learning Trends For 2026

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.
Computer Weekly

How AI code generation is pushing DevSecOps to machine speed

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
TMCnet

Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery

NEW YORK, Feb. 24, 2026 /PRNewswire/ -- Fractal ( www.fractal.ai ), a publicly listed global enterprise AI company serving Fortune 500® organizations, today announced the launch of PiEvolve, an ...