Latest Articles for Learning

A new method improves how machines learn and adapt to novel data.

Innovative approach reduces time and effort needed for ultrasound video annotation.

Research shows artificial agents can comprehend and act on language tasks effectively.

Robots can learn better by interacting with humans using everyday language.

A new method to improve understanding of deep learning models.

Exploring how fabrics enhance robotic movement and learning.

AI improves decision-making through self-explanations and feedback loops.

MBAPPE enhances decision-making for autonomous vehicles using learned behaviors.

A new method improves coordination between drones and ground vehicles for extended operations.

Research reveals how dopamine affects memory retention and learning in fruit flies.

Research reveals how robots can learn and adapt through generations.

Macop trains agents to adapt and work better with any teammates.

Exploring how the striatum aids in learning and refining motor skills.

Students share experiences and concerns about using ChatGPT in programming classes.

This study examines how quizzes can enhance learning in programming languages.

Examining how trust evolves through individual experiences and interactions.

Research shows GPT-2 struggles with languages that defy human patterns.

New self-healing systems learn to recover from failures without human help.

A new system helps students learn coding through interactive puzzles.

A novel approach to fill gaps in medical imaging for better anatomical accuracy.

A new method improves rule learning by linking smaller rules effectively.

A new approach to teaching medical statistics engages students effectively.

AI storytelling program helps children learn mathematical language effectively.

A new method combines learning and safety for smarter robot control.

Fast decisions in animals reveal surprising cognitive abilities and adaptability.

Language models aim to improve science learning by providing personalized assistance.

Learn how memory representation influences effective learning and recall.

MetricRL enhances learning from past experiences in goal-oriented tasks.

Investigating methods for understanding unknown systems through partial information.

A study on how machines can adapt to human social norms.

This study examines contracts between principals and learning agents through repeated interactions.

Strategies to reduce bias in ML, focusing on continuous sensitive attributes.

Exploring how humans and animals track time in memories.

A novel method for addressing complex optimization challenges using data-driven strategies.

Examining how AI can transform mathematical problem-solving and decision-making.

An exploration of how hierarchies form in competitive environments.

Physical activity enhances how memories form and stabilize over time.

Agent AI transforms how machines learn and operate in diverse environments.

A look into challenges of making predictions in complex dynamical systems.

Using language models to evaluate and enhance educational materials effectively.