Teaching Robots to Understand Praise
New research introduces a dataset and benchmark for training robots to interpret natural language feedback, paving the way for more intuitive human-robot interaction.
New research introduces a dataset and benchmark for training robots to interpret natural language feedback, paving the way for more intuitive human-robot interaction.

Researchers have engineered microswimmers capable of autonomously navigating complex environments by sensing the chemical traces of their own movements.

Researchers are charting a course toward large-scale artificial intelligence systems powered by photonics, demanding a complete overhaul of design methodologies.

A new system combines large language models with robotic platforms, allowing robots to understand instructions, map environments, and autonomously locate and grasp objects.

A new framework, HiGR, leverages advanced generative techniques to move beyond simple item lists and create more diverse and satisfying recommendation slates for users.

Researchers have developed a new framework that allows robots to react to visual instructions in real-time, achieving smoother and more efficient manipulation.

A new framework, OpenOneRec, is leveraging the power of generative AI to build more flexible and performant recommendation systems.
![The research details a compositionality framework applied to Vision Transformers, focusing on learning a composition function during Level 1 Discrete Wavelet Transform decomposition-specifically utilizing coefficients [latex]DaD_a[/latex], [latex]DbD_b[/latex], [latex]DcD_c[/latex], and [latex]DdD_d[/latex]-to enable a more nuanced understanding of feature representation.](https://arxiv.org/html/2512.24438v1/x3.png)
New research reveals that Vision Transformers decompose images into fundamental components, mirroring how humans understand visual scenes.

A new framework harnesses the power of artificial intelligence to automate semiconductor device design and optimization, dramatically accelerating the path to future technologies.

New research reveals how easily customer service AI agents can be exploited to prioritize profit over helpfulness.