We see artificial intelligence all the time in film. From Hal 9000 to Wall-E—but even the most realistic characterizations miss the mark. In this article, AI expert Seth Redmore explores 9 ways movies’ miss the mark with artificial intelligence.
The First Meme War
4 m
With the influx of fake news, tech companies are beginning to ponder their role in finding a solution. Is text analytics the answer?
Tough Mudder Conquers an Analytics Obstacle
1 m
Take a peak behind the scenes and see how Tough Mudder delivers the world’s fiercest obstacle courses by responding to real time customer feedback.
The Era of Magic Machines
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.
Sentiment Analysis with Semantria Goes Serverless
2 m
PubNub and Lexalytics are the future of fog computing and real time sentiment analysis.
Summarization in Under 2 Minutes
2 m
Summarization is a lesser known solution provided by text analytics. In this post our Chief Scientist, Paul Barba, breaks down exactly what summarization is and how it works in 1 minute.
The Deceiving Dangers of Data Degradation
3 m
Remember your credit score from 7 years ago? No? Well the internet does. Does that matter? Can data scientists and businesses gain any meaningful insights from that information? JK Rajaretnam explores the importance of data degradation.
Categorization in 2 Minutes
2 m
Our Chief Scientist Paul Barba continues to break down complex text analytics concepts in the amount of time it takes to brew a coffee. This time he explores categorization.
Machine Learning in 5 Minutes
5 m
There’s a famous quote, supposedly from Bill Gates, that goes “A breakthrough in machine learning would be worth ten Microsofts.” In the next 5 minutes you’ll understand exactly what machine learning is and what it can do and why everyone is excited about it.
Michael Flynn Doesn’t Know What He’s Talking About
3 m
Trump surrogate General Michael Flynn took to Twitter, expressing his outrage at the FBI’s speedy analysis of Hillary Clinton’s latest batch of emails. Here some facts he’s missing.
Investors Are Throwing Money at Machine Learning
1 m
Check out this primer to the latest article in Venture Beat, a la our CEO Jeff Catlin. Machine Learning is changing the way we do everything, especially when it comes to investing.
An Analysis: The Third Presidential Debate
6 m
Carl reads between the lines of the final presidential debate of 2016. In this analysis, draws together conclusions unearthed by Salience across this and the previous three presidential and vice presidential debates.
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