Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in time-series data, classification of ECG and …

Summary:  There’s a three way technology race to bring faster, easier, cheaper, and smarter AI.  High Performance Computing is available today but so are new commercial versions of actual Quantum computers and Neuromorphic Spiking Neural Nets.  These two new entrants are going to revolutionize AI and deep learning starting now.

 …

Summary:  We are approaching a time when we need to be concerned that our AI robots may indeed harm us.  The rapid increase in the conversation about what ethics should apply to AI is appropriate but needs to be focused on the real threats, not just the wild imaginings of the popular press.  Here are some data points to help you in thinking about this, what our concerns should be today, and what our concerns should be in the future.

 …

Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires manual engineering of features which can then be fed into a machine learning algorithm. Engineering of features generally requires some  domain knowledge of the discipline where the data has originated from. For example, if one is dealing with signals (i.e. classification of EEG signals), then possible features would involve…

Summary:  Just where are we in the Age of AI, where are we going, and what happens when we get there?

When things are changing fast, sometimes it’s necessary to take a step back and see where you are.  It’s very easy to get caught up in the excitement over the details.  The individual data science technologies that underlie AI are all moving forward on different paths at different speeds, but all of those speeds are fast.  So before you change careers or…

Summary:  Whether you are a startup person or data science-minded executive in a larger organization what logic can you apply to spot the most compelling opportunities for AI in your organization.

In 2014 Kevin Kelly, founder of Wired magazine and prolific futurist famously said, “The business plans of the next 10,000 startups are…

Summary:  For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data science technologies that combine into what the popular press calls artificial intelligence (AI).

We and others have written quite a bit about the various types of data science that…

Summary:  Convolutional Neural Nets are getting all the press but it’s Recurrent Neural Nets that are the real workhorse of this generation of AI.

 We’ve paid a lot of attention lately to Convolutional Neural Nets…