Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
EurekAlert!

Mixed signals: Machine learning helps detecting roars from lion collars without recording actual audio

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

iLeads Launches AI-Powered Lead Classification Model, Delivering Up to 3X Net Revenue for Mortgage Lenders

Newport Beach, CA, April 21, 2026 (GLOBE NEWSWIRE) -- iLeads, a leading provider of mortgage lead data and targeting solutions, today announced ...

Automated AI system flags qubit drift and instability, speeding quantum calibration

NPL, the UK's National Metrology Institute (NMI), plays a central role in providing accurate and trusted measurement across ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Scientific Research Publishing

Dietterich, T.G. (2000) Ensemble Methods in Machine Learning. In: Kittler, J. and Roli, F., Eds., International Workshop on Multiple Classifier Systems, Springer, 1-15.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
InfoQ

Roblox Open-Sources AI System to Detect Conversations Potentially Harmful to Kids

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 ...
Scientific Research Publishing

Emmanuel, I., Sun, Y. and Wang, Z. (2024) A Machine Learning-Based Credit Risk Prediction Engine System Using a Stacked Classifier and a Filter-Based Feature Selection Method ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...
GitHub

thenzler/it-ticket-classifier-ml-2025

Dieses System automatisiert die Klassifizierung und Priorisierung von IT-Support-Tickets mittels Machine Learning. Es erreicht eine Klassifizierungsgenauigkeit von 91.4% für Kategorien und 87.8% für ...