OPTIMIZING DATA ACQUISITION

Posted by Iulius on Sep 12, 2016 10:00:00 AM

It's intuitive that if you take the topics you know the least and you learn those, you'll get a better test score. However, when we switch this idea to mathematical function optimization in a very large hyper dimensional space (also known as Machine Learning), things tend to not go by our intuition anymore. Thus, we better test the assumption.

The thing with hyper-dimensionality is that everything changes a lot in a way we can't naturally picture. Our imagination goes up to, say, four dimensions (e.g. 3D heat map, where the fourth dimension is the color), maybe even 5 or 6D if we specifically train our brain for that. We could add sound to that graph or other crazy ideas, but the brain needs time to acquire the intuition for that "dimension". So, there's no way for us to imagine a 10.000D space and everything that it entails.

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Topics: Machine Learning, Artificial Intelligence, NATURAL LANGUAGE PROCESSING

THE DANGERS OF BEING CALLED AN "AI LAWYER"

Posted by Cian on Aug 30, 2016 11:24:00 AM

Our friends at ROSS Intelligence have had some fantastic milestones this year. One of them was when a significant bankruptcy law firm "hired an Artificial Intelligent Lawyer" from ROSS. This press release caused some huge conversation online. Some of the comments, I take issue with, in short: 
1. There was an unwarranted concern on how ROSS uptake would cause an issue with training lawyers.
2. There was a complete and utter misclassification of ROSS as a "Lawyer".
3. There was a poorly articulated reflection on how technology can assist in our day-to-day lives.

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Topics: Machine Learning, Legaltech, #Lawyers, Artificial Intelligence, AI, NATURAL LANGUAGE PROCESSING