Results 131 to 140 of about 3,282,089 (344)
FAQchat as in Information Retrieval system [PDF]
A chatbot is a conversational agent that interacts with users through natural languages. In this paper, we describe a new way to access information using a chatbot.
Abu Shawar, B.A. +2 more
core
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Natural forests of the world – a 2020 baseline for deforestation and degradation monitoring
Informed decisions to reduce deforestation, protect biodiversity, and curb carbon emissions require not just knowing where forests are, but understanding their composition.
Maxim Neumann +16 more
doaj +1 more source
Google Scholar and Google Print
Daniel Terdiman, A Tool for Scholars Who Like to Dig Deep, New York Times, November 25, 2004. Excerpt: '"For scholars and researchers of every stripe, [Google Scholar] will be enormously helpful to be able to sit at their kitchen tables with a regular Internet connection and get access to papers we formerly found only by trudging to a ...
openaire +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Google lawyer on Google Library
Alistair Coleman reports in BBC news on a speech by Alexander Macgillivray at the Oxford Internet Institute. Macgillivray is Google's senior product counsel.
openaire +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Scalable spatiotemporal prediction with Bayesian neural fields
Spatiotemporal datasets, which consist of spatially-referenced time series, are ubiquitous in diverse applications, such as air pollution monitoring, disease tracking, and cloud-demand forecasting.
Feras Saad +6 more
doaj +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Machine learning (ML) methods enable prediction of the properties of chemical structures without computationally expensive ab initio calculations. The quality of such predictions depends on the reference data that was used to train the model.
Stefan Ganscha +5 more
doaj +1 more source

