Reasoning Robots: Bridging Logic and Learning
A new framework aims to imbue robots with robust reasoning capabilities by unifying symbolic logic with neural learning techniques.
Science
Why Did the Robot Do That? Explaining Complex System Plans
A new framework provides clear, contrastive explanations for the plans generated by hybrid systems, boosting trust and transparency in autonomous decision-making.
Bringing Interactions to Life: Generating Realistic Hand-Object Motion
Researchers have developed a new framework that creates believable 3D animations of hands interacting with objects, driven by simple text descriptions.
AI’s Impact on Code Research: A Field Under Construction
A new study reveals how generative artificial intelligence is rapidly changing the way software engineering research is conducted-and the challenges that come with it.
Level Up Collaboration: How AI Can Foster Better Group Learning
New research explores how generative AI can be designed to actively support collaborative learning environments and enhance the crucial skill of self-regulation within teams.
The Next Industrial Shift: AI Agents at Work
A new review examines how autonomous AI systems are poised to reshape engineering and manufacturing, but significant hurdles remain before widespread adoption.
Understanding What Machines See: A Guide to Explainable Activity Recognition
As wearable sensors become ubiquitous, ensuring we understand how algorithms interpret human movement is critical for building trustworthy AI systems.
Decoding AI Regulations: Can Explainable AI Pass the EU Test?
A new framework maps the requirements of the EU AI Act to the capabilities of explainable AI methods, offering a path towards demonstrable regulatory compliance.
Robots Learn to ‘Speak’ with Their Hands: Predicting Human Gestures with AI
New research demonstrates a more efficient AI model capable of predicting and generating natural, emotionally-relevant gestures for robots during human-robot interaction.
The Rise of the AI Orchestrator: A New Era for Software Engineering
![The inevitable erosion of engineered value is demonstrated by its inversion-a system initially optimized for performance gradually degrades toward a state of diminished return, where increased investment yields proportionally less benefit, ultimately mirroring the entropic trajectory of all complex systems [latex] \Delta V \propto - \nabla F [/latex].](https://arxiv.org/html/2604.10599v1/Inversion.png)
As artificial intelligence takes on more coding responsibilities, the core discipline of software engineering is rapidly evolving from creation to curation and validation.