eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

Multilayer Perceptron Grouping and Sparse Gaussian Process-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multiobjective Optimization

Abstract: Gaussian processes (GPs) have attracted considerable attention in assisting evolutionary algorithms (EAs) to solve computationally expensive optimization problems (EOPs) because they can ...
IEEE

Multiclass Classification of Hypertension Severity Using Deep Learning: Modeling and Performance Evaluation of a Multilayer Perceptron Model

Abstract: Hypertension is a chronic condition characterized by sustained high blood pressure, posing significant risks for cardiovascular and renal diseases. This research explores the application of ...
Frontiers

Machine learning-based model for predicting metabolic dysfunction-associated steatotic liver disease using non-invasive parameters in young adults

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly being diagnosed in young adults and is associated with long-term hepatic complications. Early detection ...
Seeking Alpha

Why Alibaba May Be Winning The Global Model Race

Alibaba has transformed into an AI-first organization, leveraging its Qwen models to lead China's AI cloud and infrastructure landscape. BABA's Qwen family now rivals Western leaders in multimodal AI, ...
techxplore

Algorithm offers faster, more reliable control over language model outputs

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...