Ai Funds Launches BAILA® 3.0: The Next Generation of its AI Investment Model

Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...

Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Scientific Research Publishing

Nayak, J., Meher, S.K., Souri, A., Naik, B. and Vimal, S. (2022) Extreme Learning Machine and Bayesian Optimization-Driven Intelligent Framework for IoMT Cyber-Attack Detection ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
IEEE

High-Speed Link System Surrogate Modeling and Co-Optimization Based on Multimodal Machine Learning and GraphVAE

Abstract: With the continuous advancement of very-large-scale integra tion technology, high-speed interconnect systems are increasingly challenged by signal integrity (SI) issues arising from feature ...
Scientific Research Publishing

Optimization of Complex Spray Drying Operations in Manufacturing Using Machine Learning: Evaluating Techniques for Energy Efficiency and Product Quality Enhancement ()

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...