In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
The model, which simulates every NFL game 10,000 times, is up well over $7,000 for $100 players on top-rated NFL picks since its inception. The model enters Week 18 on a 53-37 run on top-rated picks ...
Researchers have developed a new prediction tool that could help clinicians better assess whether complete tumour removal is ...
From agentic AI to vibe coding, here are 15 predictions that will define how small businesses use AI in 2026 and beyond.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Cointelegraph asked leading AI models to forecast 2026 crypto prices, revealing where institutions, regulation and ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
MLPs lagged the broader market in Q3 2025 according to Invesco SteelPath MLP Income Fund. Explore the full report to evaluate ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback