Analytics Insight

Best EdTech Platforms for Learning AI Skills in 2026

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...
IEEE

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities

Abstract: The use of machine learning (ML) for cancer staging through medical image analysis has gained substantial interest across medical disciplines. When accompanied by the innovative federated ...

Xiangyi Li: The Young Founder Bringing Transparency to AI

Xiangyi Li saw this gap during his work at Tesla and in research projects across universities. Rather than accept the inefficiency, he founded BenchFlow, a platform designed to make AI model ...
Frontiers

Development and validation of an interpretable machine learning model for predicting the risk of non-cardiac surgery postoperative heart failure: a multicenter study

Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...
IEEE

Datasets, Machine Learning Recognition Performance, and Key Issues in Nursing Care Activity Recognition: A Systematic Review

Abstract: Countries experiencing rapid aging face severe caregiver shortages, necessitating effective workforce optimization. Nursing care activity recognition (NCAR) offers a promising solution by ...