Presentation of the best paper award at the RoboCup 2025 symposium.

Co., Ltd. recently announced good news: its patent for the "Application Method and System of Self-Supervised Learning Model in Cell Image Classification" has been authorized, with patent number ...

ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

First, let's discuss the core elements of this development, with algorithms being the most critical. In AI agent development, we often mention the use of machine learning algorithms, and of course, ...

Scientists in Australia have developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made. They ...

ABSTRACT: This study explores the growing impact of machine learning (ML) on forensic accounting and fraud detection. As financial transactions and systems become increasingly complex and voluminous, ...

ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...