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.

Best AI-Native Loan Origination Platforms in 2026

Best AI-Native Loan Origination Platforms in 2026. Loan origination is being rebuilt around AI. I'm the founder of SecureLend ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Will All New AI Models Be Classified As Military Grade?

This article discuss if the US government will regulated the most advanced AI models. It argues that we have hit a cap on the ...
Scientific Research Publishing

Sayyidul Laily, F.T.A. (2024) Feature Extraction and Classification of Retinal Images Using Sobel Segmentation and Linear Svc. International Journal of Artificial Intelligence ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
IEEE

Spectrally-Corrected and Regularized LDA for Spiked Model

Abstract: This paper proposes an improved linear discriminant analysis called spectrally-corrected and regularized LDA (SRLDA). This approach incorporates design principles from both the ...
The New York Times

Are Models Getting Even Skinnier?

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...
Scientific Research Publishing

Comparing Classification Models for Predicting Malaria: A Case Study of Malaria Incidence in Kenya ()

1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...
IEEE

Tensor Decomposition-Based Relaxed Linear Regression for Hyperspectral Image Classification

Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...