Paul Barba 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.
The Blog.
Build vs Buy: Text Analytics & NLP
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9 m
From customization to scalability, there’s a lot to consider when deciding whether to build or buy an NLP or system. In this article we outline the dilemma and explore the pros and cons and costs of both options.
Stories of AI Failure and How to Avoid Similar AI Fails
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11 m
Don’t fail prey to the AI hype machine. These high-profile stories of AI failure are alarming for consumers, embarrassing for the companies involved, and an important reality-check for us all.
BERT Explained: Next-Level Natural Language Processing
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2 m
BERT is the latest and greatest in Natural Language Processing technology. Our VP of Marketing, Andrea Kulkarni, stops by the blog to explain what it is and how it impacts Lexalytics.
Bias in AI and Machine Learning: Sources and Solutions
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12 m
Bias in AI causes machine learning-based systems to discriminate against particular groups. We investigated why AI bias occurs, and how to fight back.
Machine Learning Micromodels: More Data is Not Always Better
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6 m
Machine learning micromodels reduce the challenges of sourcing and annotating data while delivering better precision and accuracy than macromodels.
AI Maintenance is Critical
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2 m
Getting an AI system up and running is only half the battle. In this feature on KDnuggets, Paul Barba explains why AI requires maintenance to succeed.
Are We in an AI Hype Bubble? Not Necessarily
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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?
3 Surprising AI Applications in Food, Energy and Airlines
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4 m
Artificial intelligence for the food, energy and airline industries? These clever AI applications will surprise and inspire you.
A Guide to Underwhelming with AI
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3 m
This week: a guide to underwhelming with AI, featuring Watson for Oncology; why Forrester says 75% of early AI projects will underwhelm; and Stephen Hawking’s different AI warning.
Hallucinating AI is a Big Security Problem
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4 m
This week: hallucinating AI is causing security headaches and potential disasters; a new report dives into potential malicious uses of artificial intelligence; and California legislators are taking action to protect you, your data and your privacy.
Elon Musk vs Artificial Intelligence: A Story of Alarmists vs Realists
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4 m
It’s round 2 of “Elon Musk vs AI” as Musk hits back at Harvard professor Steven Pinker. Meanwhile, a Google exec warns about “movie-inspired death scenarios” from Terminator-style AI.