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What Are a Few AI Research Labs on the West Coast?
Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It’s often from those labs that open source projects are started.  Institutes like Open AI, NASA’s JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max... Read more
Is AI the Future of Digital Influencers?
The term “influencer” has been populating the digital sphere for a long time now, and so far, it has gone largely undefined. As we know it, an influencer can be anyone that holds influence over their audience, community, or platform. Celebrities, politicians, models were the original ones; then came... Read more
Scaling Humans With AI
One of the most persistent problems within many fields is the lack of communication. We have access to vast amounts of data, but all that information is siloed. You have so many different systems and hundreds of ways to access various pieces of data, but nothing really communicates. AI... Read more
Why Effective and Ethical AI Needs Human-Centered Design
Data science is about a half-century old in the way we think of it now, but with the advent of AI, we’re reaching a precipice of how we want to model our AI initiatives. Moving forward with not just effective but ethical AI, we need a human-centered design principle.... Read more
Why Do Businesses Need a Data (and AI) Manifesto?
50 years ago, the concept of privacy meant disappearing. You built a wall around your private data, and it was pretty easy to keep that wall secure. Aside from governmental intrusion, you didn’t have to worry much about constant feeds of data streaming from your daily activities into the... Read more
AI Ethics: Avoiding Our Big Questions
A lot of discussion over AI is hyperbolic comparisons to the Terminator. While this isn’t helpful to the discussion, addressing ethics concerns with bigger, faster AI on the horizon is a necessary part of development. Instead of willful ethics violations, we may have more trouble with ignoring the potential... Read more
AI and the Visual Revolution
We’ve focused a lot on what AI can do for language processing, but one aspect of AI that’s gaining speed is visual. So much of our data is visual, so using these AI models to parse and work with visual media is a crucial aspect of decoding our big... Read more
6 Unique GANs Use Cases
Generative Adversarial Networks are transforming what we’re able to do with neural networks, and it’s unfortunate that almost all the press goes to those wildly accurate facial constructions like that of This Person Does Not Exist. GANs have some incredible potential so let’s take a look at some really... Read more
Why The New Era of Big Data Requires Innovative Privacy Initiatives
“Data can either be useful or perfectly anonymous but never both.” – Paul Ohm Privacy and data collection go together like peanut butter and jelly, but in the world of big data, it’s becoming increasingly difficult to work with anonymous data without crossing a privacy line. So what’s a... Read more
Data Scientists Versus Statisticians
Ever since the term “data scientist” came onto the tech scene, there’s been a cross-generational debate raging, attempting to define and distinguish newly branded data scientists and traditional statisticians. I personally adopted the data scientist title around 2012, and I recall a rather pithy definition float across the Twittersphere... Read more