International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial connectomes in mammals, involving the mapping of the network of neurons and ...

Emma Watson's quote of the day focuses on something simple that shows up in everyday choices more than people think.

Prolonged academic work frequently leads to severe mental exhaustion and scattered attention. Establishing a controlled auditory environment serves as a highly effective method to block out external ...

The Bitcoin Quantum testnet provides developers, miners, and researchers with a live environment to evaluate how ...

By Hera Rizwan This series was supported by the Pulitzer Center. The community health worker lifts her smartphone toward the woman's face and waits. The screen flashes: "Face not matched". She tries ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

The Unlimited HFGM Global Macro ETF seeks to emulate the Global Macro hedge fund sector with enhanced performance and ...

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD), reports a new study at Columbia ...

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...