Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Artificial intelligence terminology continues to expand as researchers and companies develop new systems, prompting the need ...

AI models transmit hidden behavioral traits through imperceptible signals in training data, a phenomenon called subliminal learning. This threatens the safety o ...

A groundbreaking 20-year study shows that just five weeks of a specific type of brain training can reduce dementia risk by 25 ...

Jack McCauley, Board Trustee and Innovator in Residence at the UC at Berkley, spoke at the Dublin Tech Summit 2025.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...

PCWorld reports that Claude AI users are adopting “caveman” prompting techniques to reduce token consumption by stripping ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Neural-network processors accelerate AI program execution while development tools help you get to market fast.