What is natural language processing? And what does it mean for you, me and your drunk friend? Seth Redmore explains the fundamental concepts of NLP in 5 minutes or fewer.
The Blog.
Using AI to Unlock the Brain
on
3 m
This week: cognitive neuroscientists are using AI to unlock the brain and understand how it works; Gary Kasparov says AI will make us more human; and how to avoid “analysis paralysis” with your AI.
Cambridge Analytica: Big Data Changing How You Act, Bigly
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6 m
The Cambridge Analytica Files have ripped open the conversation around data analytics, privacy, and marketing. In this probing and humorous article, our CMO shares his unique perspective as a marketing professional at a data analytics company.
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.
Artificial Intelligence < Nukes
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5 m
Elon Musk put on his oracle hat at SXSW and offered another dire warning to humanity: AI is dangerous and it is coming for you. Our CMO, Seth Redmore, takes issue with this.
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.
Tuning vs. Training, Nazar Amulets, and Sentiment
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4 m
Lexalytics COO Tim Mohler lays out the challenges of annotating the more obscure emoji in the Unicode Consortium’s latest release.
When Is “Good” Good Enough for AI?
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3 m
Popular media and hype cycles are leading us to expect radical changes and perfect results from artificial intelligence. But you don’t read perfectly, so why should your AI? In this blog, veteran CIO Carl Lambrecht explains when “good” is good enough for AI.
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.
Jeff Catlin’s AI Predictions for 2018
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3 m
This week: Jeff Catlin gives us his AI predictions for 2018, plus a much-needed reality check (he says AI needs to consider its privilege); some areas where AI is already rivaling humans; and Steve Wozniak joins the camp of AI realists.
Hyperparameter Theft!
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4 m
Hyperparameter optimization is akin to a secret ingredient in Willy Wonka’s Chocolate Factory. And, much like Arthur Slugworth, there are nefarious entities afoot in the machine learning community. In this article, Chief Scientist Paul Barba goes over the ins and outs of hyperparameter theft!
AI’s Biggest Risk Factor is Big Data Itself
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2 m
This week: AI’s biggest risk factor is big data itself, and the stakes are getting higher; exploring more legal and compliance risks from AI; and a tour through the history of AI and machine learning.