High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

The CBSE Cluster IX Basketball Tournament kicked off on 20th July 2025 at Indira National School, Pune. The opening day witnessed a series of competitive matches in both the girls’ and boys ...

Defect engineering requires a fundamental understanding of the nature of spatial disorder and consequent changes in material properties, which is currently lacking. We introduce the cluster-based ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...

This study develops a robust machine learning model based on artificial neural networks to classify six flow patterns in oil-water two-phase flow within horizontal pipelines, a key aspect for ensuring ...

To our knowledge, to date, however, there are no widely utilized machine learning (ML) models that predict development of CLL. Therefore, the objective of this study was to leverage readily available ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Clustering can be done using various algorithms such as k-means, hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN) and Gaussian mixture model (GMM) ...

Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

We postulate that incorporating the high dimensionality of drug toxicities into a single joint model aided by machine learning methods can analyze these dynamic individual and joint-toxicity ...

Scientists are using machine learning to find new treatments among thousands of old medicines.