Khoa Luu's $499,728 award will allow him to continue research into the tendency of large-scale multimodal models to produce immature or inaccurate outputs known as ...

The AI industry is experiencing a significant shift that is not yet widely recognized. While large language models (LLMs) ...

The technological singularity — the point at which artificial general intelligence surpasses human intelligence — is coming.

Graduate training in neuroscience at NYU Langone is multidisciplinary and collaborative and spans basic, translational, and clinical research.

A new study reveals that our brains separate “stuff” like water and sand from “things” like balls or tools, using specialized circuits in the visual cortex.

Identifying emerging research topics is a challenging task. This study presents a novel methodology for the future prediction of emerging research topics, employing Graph Neural Networks (GNNs). The ...

How a grad student got LHC data to play nice with quantum interference New approach is already having an impact on the experiment’s plans for future work.

A brain–computer interface (BCI) serves as a direct communication channel between brain activity and external devices, typically a computer or robotic limb. Advances in technology have led to the ...

Poster Session I Thursday May 22, 2025 7:30 PM - 8:30 PM ET Keyword: Vision Abstract: Previously, we found distinct neural mechanisms for conscious and unconscious tool representations using ...

Energy and memory: A new neural network paradigm A dynamic energy landscape is at the heart of theorists' new model of memory retrieval Date: May 14, 2025 Source: University of California - Santa ...

Moghar, A. and Hamiche, M. (2020) Stock Market Prediction Using LSTM Recurrent Neural Network. Procedia Computer Science, 170, 1168-1173.