From Pilots to Powerhouses: How Agentic AI and Tokenization Are Redefining Wholesale Banking in 2026

Running parallel to the rise of agentic AI is the rapid advancement of tokenization. This involves converting real-world ...

New technique reveals body-wide cellular processes

Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...
Contract Pharma

How AI Is Reshaping Early Drug Development Through a Landmark Partnership

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic ...
News-Medical.Net

Machine learning model can predict 28-day mortality in sepsis patients

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
Tech Xplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...
IEEE

Generating Adversarial Malware Examples Against Multiple Machine Learning Detectors

Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...
Scientific Research Publishing

Modelling a Hybrid System: Deductive System and Machine Learning ()

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
The Lancet

Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia

jDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA kDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, ...