The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Justdial on MSN

Machine learning vs deep learning: Which one is better?

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

New AI framework reveals chemistry driving high-conductivity lithium-ion electrolytes

A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

Gold and silver price swings are powering algo traders and machine-learning funds

Trend-following funds, which use quantitative models and algorithms to trade market moves, have traversed the recent wild swings in gold and silver.
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

U.S. Consumer Confidence and Spending Momentum Strengthen in February, Prosper Data Shows

The findings are based on Prosper’s 23-year continuous monthly survey of over 7,500 nationally representative U.S. adults. While the dataset spans more than two decades, this analysis focuses on the ...