OpenAI’s Latest Model Is Scarily Good at These Important Work Functions

A panel of human judges decided if the model’s work matched or exceeded the output of a skilled human worker. Here's what ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
BMJ Global Health

Salary delays among public sector primary care workers: evidence from facility surveys across 16 low- and middle-income countries

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

New Approaches To Weighting Drive Innovation In Large Language Models

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
eLife

Continuous flashing suppression of V1 responses and the perceptual consequences revealed via two-photon calcium imaging and transformer modeling

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
Scientific Research Publishing

Gu, A. and Dao, T. (2023) Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
IEEE

Small-Signal Modeling and Decoupling Control of a Doubly-Fed Linear Motor for Maglev Application

Abstract: For maglev applications driven by linear motors, the contactless power supply for the mover side is a significant challenge. The doubly-fed linear motor (DFLM), with its slip frequency as an ...
Frontiers

Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics

Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these ...
powerelectronicsnews

Non-linear Loss Modeling provides Accurate Estimation of SiC Converter Performance

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...