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 ...

The Handheld Gaming "Holy Grail": FSR 4 INT8, XeFG, and XeLL

Windows handhelds may have found a breakthrough. FSR 4 INT8, XeFG, and XeLL can turn compromised 30 FPS gaming into smooth 60 ...
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 ...
IEEE

LiMo: A Framework Leveraging Machine Learning for Multi-Input Switching Timing Models of Complex Logic Gates

Abstract: Traditional standard cell libraries employ a single-input switching (SIS) assumption for characterization. However, in real circuits, multiple inputs can switch simultaneously, resulting in ...
SpaceNews

Xoople and L3Harris team up to build satellites for ‘Earth AI’

L3Harris Technologies has struck an agreement with Madrid-based startup Xoople to develop a satellite constellation designed for a still-emerging concept in the space industry: Earth AI. The companies ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Hosted on MSN

First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...