Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
Accurate information on the location and use of individual buildings is essential for estimating impacts from disasters. However, even in developed countries, such data remains scarce, forcing ...
NVIDIA is attempting to solve the “black box” problem of self-driving cars by open-sourcing the cognitive architecture behind them. At the NeurIPS conference today, the company released Alpamayo-R1, a ...
The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.
This workshop will introduce the importance of identifying, understanding, and addressing implementation barriers and facilitators. It will also feature a review of common methods of data collection ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.
Google LLC has just announced a new version of its Gemini large language model that can navigate the web through a browser and interact with various websites, meaning it can perform tasks such as ...
Abstract: Over time, many individuals have been exposed to chemical substances with potentially harmful effects on the human body. Drug toxicity is a critical factor in drug development process.
When using Tesseract OCR to extract text from an image containing asterisks (*), the output does not preserve the asterisk character. Instead, it is replaced with seemingly random characters or ...
Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...