Machine Learning applications: How to think about AI and your business
We hear two common questions when talking with users who are new to the artificial intelligence (AI) space and looking to leverage AI in...
Artificial intelligence in cancer imaging – Current trends
The exponential growth and availability of healthcare data coupled with the increasing computational power have enabled the development of AI systems and machine learning...
AI-based tools and databases for Drug Discovery
The development of a new drug is a very complex, expensive, and long process, broadly divided into four major stages: target selection and validation;...
Battery life estimation using machine learning techniques
Battery life estimation or state of health (SOH) estimation deals with accurately assessing the percentage value of the State of Charge (SoC), which is...
Pros and cons of anomaly detection techniques
Our recent post about data anomaly detection explored various supervised and unsupervised techniques commonly used to identify intrusions and non-authorized activities. This post will...
Supervised and unsupervised anomaly detection techniques
Even after 20 years of research and development, anomaly detection still confronts difficult and unresolved challenges, including reducing many false alerts during the process...
Data anomaly detection – Complexities and challenges
A data anomaly is a point or sequence of points that deviate from the normal behavior of the data. Anomaly detection is a process...
Anomaly detection techniques for sensor data – Pros and cons
Hundreds of millions of individuals, homes, and businesses use smart sensors and advanced communication technologies today, playing indispensable parts in the way they work,...
How computer vision is shaping the future of marketing
Visual content is a primary canvas for marketers to tell stories that influence their consumers. Videos, images, and everything between (and beyond) dominate websites,...
Payment fraud detection techniques in Machine Learning – Pros and Cons
Online and credit card payments play a significant role in today’s economy. They have become an unavoidable part of household, business, and global activities.
However,...
Deep Learning in Medical Image Processing – Scope and challenges
Medical image processing is a set of procedures to obtain clinically useful information from various imaging modalities, mostly for enhancing diagnosis and prognosis according...
How does Machine Learning change software development practices?
Machine learning (ML) is no longer just a futuristic possibility that will allow robots to act and even replace people simply because they are...
