Bias in AI causes machine learning-based systems to discriminate against particular groups. Here’s how AI bias occurs, and what you can do to fight back.
Machine Learning Micromodels: More Data is Not Always Better
on
6 m
Machine learning micromodels reduce the challenges of sourcing and annotating data while delivering better precision and accuracy than macromodels.
Are We in an AI Hype Bubble? Not Necessarily
on
4 m
It could be 20 or 30 years before AI matches humans, researchers now say. But VC firms are still investing billions. Are we in an AI hype bubble?
How to Choose an AI Vendor: 4 Questions to Answer
on
4 m
Choosing an AI vendor? Don’t get burned by half-baked AI tools that can’t deliver real ROI. Use these 4 questions to guide your search.
Artificial Intelligence for Disaster Relief: A Primer
on
4 m
Artificial intelligence and machine learning can help to improve disaster relief programs by quickly processing large volumes of complex, fragmented data.
Artificial Turkey Intelligence – How Smart Are They?
on
3 m
How smart are turkeys? Smarter than you’d think. This Thanksgiving, let’s talk artificial intelligence, turkeys, and artificial turkey intelligence.
The Spooky Specter of AI Automation
on
3 m
AI automation is a super spooky subject these days. Should you be scared? Here are 3 perspectives on how AI automation will impact jobs and the economy.
Artificial Intelligence Will Double Economic Growth: Here’s How
on
4 m
Many economists predict that artificial intelligence will drive huge economic growth. How will this occur? Let’s explore AI’s impact on the economy.
AI Automation Armageddon: Fact or Fiction?
on
3 m
Job losses to AI automation may be as high as 47 percent, some analysts predict. But how accurate are these warnings? Let’s look at the data.
The Era of Magic Machines
on
2 m
Lexalytics Magic Machine Labs is force-multiplying AI technologies. After over a year of careful experimentation, we’re ready to change the way machine learning happens.
What is a Matrix? A Quick Guide to Matrices
on
3 m
What is a matrix, and what is it used for? This short article will attempt to de-mystify this complex mathematical concept for natural language processing.
Machine Learning for Natural Language Processing
on
14 m
Seth Redmore explains the role of machine learning and AI in natural language processing, how to apply machine learning to solve problems in natural language processing and text analytics, and why a hybrid ML-NLP approach is best.
Or call us at 1-800-377-8036