Unlearning isn’t about regret or erasing the past; it’s about recognizing which stories still serve us and which have become ...

Even when artificial intelligence isn't explicitly taught something, it can still pick up unintended traits when being ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Google’s longtime AI guru has quietly backed more than 30 startups in the past two years—offering founders early credibility ...

DR-GEM is a self-supervised meta-algorithm that combines principles in distributionally robust optimization with balanced consensus machine learning to overcome the challenges of latent class ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine ...

In only two years, ChatGPT and the surge of AI-generated cheating from college students it has created have unraveled the entire academic project.

Results: Through latent profile analysis (LPA), five self-regulated learning profiles were extracted and labeled as follows: process-oriented competent, preaction-volitional competent, ...

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework. - ai-in-pm/ADAWorld-AI-Agent ...

However, different latent variable models have their own strengths and weaknesses, a model works well under one scenario might not provide satisfactory performance under another. The motivation of ...