In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, ...

The article discusses the problem of quality control of a neural network model with feedback, without using a reference model of a dynamic system. An approach is proposed based on the analysis of time ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile Internet with Human-in-the-Loop (CeTI).

The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data ...

“All those public broadcasting networks function a little bit independently,” Larsen said.

This report broadly categorizes NSPs, OSS/BSS companies, and equipment providers as key participants in the network automation ecosystem that are moving the needle by developing and integrating AI ...

PRDM16 directs BMP signaling outcomes by guiding SMAD complex genomic binding to repress neural stem cell proliferation and promote choroid plexus epithelial specification.

Solubility prediction is crucial for drug development and materials science, yet existing models struggle with generalizability across diverse solvents and temperatures. This study develops a novel ...

By adjusting parameters for two different sound absorption metamaterials and adopting artificial neural network (ANN), k-Nearest Neighbor (kNN) and radial basis function neural network (RBFN) ...