Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Supply Chain Management Review

Machine learning techniques in supply chain management

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...
AZOM

Machine Learning and Semiconductor Manufacturing

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...
Semiconductor Engineering

Making Sure AI/ML Works In Test Systems

Artificial intelligence/machine learning is being utilized increasingly to find patterns and outlier data in chip manufacturing and test, improving the overall yield and reliability of end devices.
Semiconductor Engineering

When And Where To Implement AI/ML In Fabs

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...
Forbes

Understanding AI And ML In The Real-Time Economy

Everybody is talking about AI, so much so that every executive who isn't thinking about it may find themselves far behind the curve. But the big question is, how do you get started? It helps to break ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
ascopubs.org

Predicting In-Hospital Mortality After Acute Myeloid Leukemia Therapy: Through Supervised Machine Learning Algorithms

29,613 hospitalizations for patients with AML were included in the analysis each with 4,177 features. The median age was 58.9 (18-101) years, 13,689 (53.7%) were male, and 20,203 (69%) were White. The ...