Appian Focuses On Upmarket Strategy As AI Competition Intensifies

AI integration supports stability, but growth is slowing and competition is rising. Read the latest analysis on the APPN ...
IEEE

Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
KMUW

Need a new path in midlife? There's a school for that and a quiz to kickstart it

Schools across the country are offering courses and retreats for people 50+ who want to reinvent themselves and embrace ...
Nevada Appeal

High school students explore cosmetology

On Jan. 15, Churchill County High School’s Work-Based Learning Program allowed students to explore careers in cosmetology. Arad Duenas, Kinsli Camacho, Naiomi Saling, Stephanie Abreu, Maria Gonzalez, ...
GitHub

Rethinking Multi-Instance Learning through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation

GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...
Her Campus

What Is A Drag Path? The TikTok Trend, Explained

It’s entirely possible that, until it started trending on TikTok, you hadn’t heard the song “Drag Path” by Twenty One Pilots. The reason being is that the song isn’t on any music streaming platform.
IEEE

SimPRL: A Simple Contrastive Learning for Path Representation Learning by Joint GPS Trajectories and Road Paths

Abstract: Path representations are widely applied in smart-city tasks, such as travel time estimation, road classification, and trajectory search. Existing approaches effectively learn these ...