Nature

‘Malicious use is already happening’: machine-learning pioneer on making AI safer

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

AI in Predictive Toxicology Market Outlook 2025–2032: Strong CAGR of 29.7% with USD 3,925.5 Million Valuation

The Global AI in Predictive Toxicology Market is estimated to be valued at USD 635.8 Mn in 2025 and is expected to reach USD 3,925.5 Mn by 2032, exhibiting a compound annual growth rate (CAGR) of 29.7 ...
Market.us Scoop

AI Lighting Market Reflects Massive Growth at 38.5%

AI lighting market is expected to reach USD 296.1 billion by 2034, up from USD 11.4 billion in 2024, growing at a remarkable ...
The LancetOpinion

Cloud computing for equitable, data-driven dementia medicine

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
Market.us Scoop

Multi-sensory AI Market Reflects Impressive Growth at 30.9%

Multi-sensory AI market generated USD 13.6 billion in 2024 and is projected to grow to approximately USD 201.3 billion by ...
IEEE

A Comparative Analysis of Feature Selection and Machine Learning Algorithms for Enhanced Anomaly Detection in 5G Core Networks

Abstract: A critical challenge lies in choosing the appropriate processing techniques to achieve optimal evaluation performance in machine learning algorithms for the 5G core data analysis in anomaly ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

The optimal algorithm, referred to as the OPTIVAN algorithm, was selected and validated using an external cohort (n=268). We evaluated the performance of 4 ML models: gradient boosting machine, random ...
IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...