Vectorize Breaks 90% on LongMemEval with Open-Source AI Agent Memory System

Hindsight achieves 91.4% accuracy, validated by research with collaborators from the Washington Post and Virginia Tech ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Devdiscourse

AI can help combat trillions in global money laundering losses

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
IEEE

Graph-Based Machine Learning Estimation Methods for Backbone Optical Network Optimization

Abstract: The development of new technologies, causing an immense increase in the amount of data transmitted through the backbone infrastructure, triggers the growing need for new, effective ...
Frontiers

Constructing ancestral recombination graphs through reinforcement learning

Introduction: Over the years, many approaches have been proposed to build ancestral recombination graphs (ARGs), graphs used to represent the genetic relationship between individuals. Among these ...
Fierce Healthcare

Early evaluation of AI scribes finds decreased burnout but limited financial ROI

In a new independent assessment of AI scribe technologies, the Peterson Health Technology Institute (PHTI) found evidence that AI scribes decrease burnout and cognitive load for clinicians but have ...
BMJ

Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting

Background Early intervention in patients with major traumatic injuries is critical. Decision support can improve clinicians’ ability to identify high-risk patients. The aim of this study was to ...