Beyond the Algorithm: Can Machines Truly Feel?

A new framework explores the possibility of machine consciousness arising from complex self-organization and predictive processing within computational systems.

A new framework explores the possibility of machine consciousness arising from complex self-organization and predictive processing within computational systems.

Researchers have developed a new soft robotic gripper with integrated magnetic tactile sensing capable of both adaptive grasping and assessing the firmness of delicate objects.

A new study reveals the practical challenges and emerging patterns in how software developers are integrating large language model agents into their projects.
Intelligent systems and robotics are rapidly reshaping how engineering industries operate, moving beyond simple automation to deliver unprecedented levels of efficiency and adaptability.

A new system automatically generates reusable code examples from existing repositories, empowering AI agents to accelerate scientific discovery.

New research explores how breaking down large AI models into specialized agents can unlock more flexible and effective collaboration between humans and robots.

A new approach embeds fundamental physical constraints into AI systems to dramatically improve the accuracy and efficiency of code generation for complex scientific simulations.
A new survey explores how advancements in visual understanding and natural language processing are enabling more effective collaboration between humans and robots.
Researchers are exploring how artificial intelligence can move beyond task completion to provide genuine long-term relational support, mirroring the role of a significant other.

A new framework formalizes decision-making competence as the core of intelligence, paving the way for truly integrated human-AI systems.