Simple ant-like robots collectively build or demolish structures without central control, just by tuning two parameters - ...

Aiper, the world's No.1 smart robotic pool cleaner brand[1]  and leader in smart yard innovation, today announced its global ...

The IntCDC Spring Conference 2026 marks the official launch of the second funding phase: Building on its successes, the Cluster of Excellence “Integrative Computational Design and Construction for ...

Abstract: Recent connections in the adaptive control literature to continuous-time analogues of Nesterov’s accelerated gradient method have led to the development of new real-time adaptation laws ...

Abstract: This research centers on enhancing quantum circuits for Quantum Decision Trees (QDT) a highly promising algorithm in the realm of quantum machine learning aimed at classification and pattern ...

Recent advances in neural networks have introduced a new paradigm for robotic inverse kinematics. However, existing methods remain limited by insufficient feature extraction and suboptimal integration ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...

A new computational study suggests the Great Pyramid of Giza was built using a sophisticated "Integrated Edge-Ramp" (IER) system, potentially solving a 4,500-year-old architectural enigma. This model ...

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...