MemRL outperforms RAG on complex agent benchmarks without fine-tuning

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

The US and China Are Collaborating More Closely on AI Than You Think

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Elon Musk says X's algorithm is 'dumb' and 'needs massive improvements' as he open-sources recommendation system

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...
IEEE

Comparing the Adaptability of a Genetic Algorithm and an LLM-Based Framework for Automated Software Test Data Generation: In the Context of Web Applications

Abstract: In the fast-paced world of software development, ensuring software quality is paramount. Software Quality Assurance (SQA) plays a vital role, primarily through testing, which can be carried ...
Healthcare IT News

With AI and biomarkers, selfies could support doctors' decision-making

A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...