9 Ways AI Transforms Financial Advisory Services

Discover nine essential ways AI helps financial advisors enhance client services, optimize portfolios, assess risks, and streamline operations effectively.

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Tech Xplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
CNET

ChatGPT Glossary: 61 AI Terms Everyone Should Know

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The Hacker News

How to Integrate AI into Modern SOC Workflows

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
Food Processing

Process Control Solutions Innovate through Digitization, AI and Machine Learning

The computer age — and now the digital revolution — has taken human beings to new heights and greater milestones, and food & beverage processing operations have come along for the ride. Digital ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Active Learning guided Gaussian Process Regressor for Non-Linear PDE Modeling for environmental simulations

Abstract: In this research, we present a novel method for solving non-linear, time-dependent partial differential equations (PDEs) using active learning combined with Gaussian Process Regression (GPR) ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
Scientific Research Publishing

Application of Machine Learning Methods in Parameter Prediction of Deep Lacustrine Oil Shale Reservoirs—Taking the Triassic Chang 7 in the Longdong Area as an Example ()

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China. 2 Key Laboratory of Petroleum Geology and Reservoir, Xi’an Shiyou University, Xi’an, China. In the course of oil and ...
C&EN

Machine Learning Prediction of Nitric Acid Extraction Behavior in PUREX Process

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. There were a total of 7 articles, with the extracted data ...