Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
EurekAlert!

Revolutionizing clinical trials with machine learning

Professor Yeonhee Park of the Department of Statistics at Sungkyunkwan University has developed a novel statistical framework — MARGO (Machine Learning-Assisted Adaptive Randomization for Group ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Analytics Insight

Essential Machine Learning Algorithms in Business Analytics

In the rapidly evolving landscape of business analytics, machine learning algorithms have become indispensable tools for extracting insights, making predictions, and automating decision-making ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Nature

Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms

Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly significant for the ...
Nature

Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

The background of the present study is first described in this section. This is followed by descriptions of the literature review, research gap, and contributions of the present study. In this section ...
Scientific Research Publishing

Prediction of Wine Quality Using Machine Learning Algorithms ()

1 Department of Statistics, Truman State University, Kirksville, MO, USA. 2 Department of Physics, Virginia Union University, Richmond, VA, USA. 3 Department of ...