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.
Worth Playing

'theHunter: Call of the Wild' To Get New Multi-Class Weapons Pack Next Week - Screens & Trailer

Experience the thrill of the hunt in a visually breathtaking, technically groundbreaking, vast open world. theHunter: Call of the Wild offers the most immersive hunting experience ever created. Step ...
eLife

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithms

This valuable study presents a real-time system for identifying multiple unrestrained marmosets in a home cage setting using a combination of face detection and color-coded beads. However, there is ...
PE Hub

Bonaccord’s minority stake in Prime Finance underscores interest in multi-asset class strategies

Private markets players are increasingly using M&A among rival and competitor firms to add new offerings that strengthen their go-to-market strategy, as PEI Group recently highlighted in the ...
IEEE

A comprehensive study on the performance of different Multi-class Classification Algorithms and Hyperparameter Tuning Techniques using Optuna

Abstract: Multi-class classification talks about classification tasks that have three or more classes. It takes the assumption that every data sample in the dataset is assigned to one and only one ...
Business Wire

F/m Investments and The RBB Fund Launch Multi-Share Class Era with Historical First Trade

NEW YORK--(BUSINESS WIRE)--The RBB Fund Complex (“RBB”) proudly congratulates F/m Investments on the historic launch and trade of a multi-share class structure with both a mutual fund share class and ...
Frontiers

Classification of tobacco leaf diseases based on multi-source remote sensing data

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
AV Club

Read This: Chris Gethard explains how algorithms killed comedy's middle class

The last five years have been a reckoning for Hollywood. As the industry continues to consolidate into fewer and fewer studios, it’s also placed more undue burden on younger artists, the ones who ...
Phys.org

Social media algorithms target lower-income youth with risky 'easy money' ads, study shows

Young people with fewer financial resources, especially boys, are the most exposed to advertising about how to make easy money. So confirms a pioneering study by Pompeu Fabra University (UPF), which ...
Bloomberg L.P.

Marshall Wace Selects Bloomberg’s Multi-Asset Class Fundamental Risk Models to Enhance Quantitative Investment Strategies

NEW YORK – Tuesday December 2, 2025 – Bloomberg today announced that Marshall Wace, a leading global liquid alternatives manager with $70BN+ in assets, has adopted Bloomberg’s Multi-Asset Class ...