Journal of Medical Internet Research

Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based ...

Objective: In this study, LLMs with new prompt engineering technology are explored to enhance model interpretability and improve the prediction performance of pulmonary disease based on traditional ...
Scientific Research Publishing

A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm ()

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
SiliconANGLE

Anthropic debuts entry-level Claude Haiku 4.5 hybrid reasoning model

Anthropic PBC today debuted Claude Haiku 4.5, a large language model geared toward cost-sensitive use cases. The company will charge users of the model $1 per million input tokens and $5 per million ...
IEEE

Predicting Knee Cartilage Degradation and Osteoarthritis Onset Using a Hybrid Mathematical Modeling and Machine Learning Framework

Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis, commonly affecting the knee joint and characterized by the progressive degeneration of articular cartilage (AC). Among the ...
IEEE

A Physical Mechanism-Constrained Deep Learning Hybrid Model for Retrieving Surface Temperature Under Nonprecipitation Cloud

Abstract: The wide range acquisition of all-weather land surface temperatures (LSTs) from passive microwave (PMW) remotely sensed data contributes to understanding the land-atmosphere interactions, ...
Frontiers

Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility

Department of Ultrasonic Medicine, Fetal Medical Centre, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Background: Lymph node metastasis serves as a crucial ...
marktechpost

Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...
CBSSports.com

Monday Night Football NFL player props: Self-learning AI says Patrick Mahomes goes Over 250.5 passing yards

The Week 5 NFL schedule wraps up with a 'Monday Night Football' showdown between the Kansas City Chiefs and Jacksonville Jaguars at EverBank Stadium at 8:15 p.m. ET. The Chiefs arrive in Jacksonville ...
CBSSports.com

NFL longshot picks, odds, player props, predictions: Model backing Travis Etienne Over 70 yards on MNF

The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...