Advances in artificial intelligence are usually framed as an arms race. Instead, let’s look at AI research through the sunnier lens of cooperation.
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 in Healthcare: Data Privacy and Ethics Concerns
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8 m
Advances in artificial intelligence have rendered HIPAA obsolete. And as AI in healthcare becomes commonplace, privacy and ethics experts are raising flags.
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?
Stories of AI Failure and How to Avoid Similar AI Fails in 2019
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9 m
Starting a new AI project in 2019? This article has the info you need to avoid an embarrassing AI failure: stories of big AI fails, expert advice, and more.
AI Won’t Solve Fake News (Not Today, Anyway)
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4 m
Why is AI so bad at fighting fake news? Learn why AI won’t solve fake news, and why the problem is only getting worse with AI-generated fake videos.
Machine Learning for Natural Language Processing
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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.
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