Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
InfoQ

DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
AHA/ASA Journals

Calcific Aortopathy in Response to Aging and Injury

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...
Devdiscourse

Why AI systems struggle with identities that resist fixed labels

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Tennessean

Ex-Sandbox Management Jake Basden to lead Blue Highway Records

On the heels of Big Machine Label Group's founder Scott Borchetta leaving the label group, parent company Hybe America is rebranding Big Machine as Blue Highway Records. Borchetta founded Big Machine ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

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 ...
IEEE

A Comparative Analysis of Machine Learning and Deep Learning Approaches for Phonocardiogram Classification Using Dataset Integration

Abstract: The worldwide increase in cardiovascular diseases and related deaths necessitates advanced, non-invasive diagnostic methods that allow for timely detection and intervention to mitigate the ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...