Analyzing Large Graph Datasets with Graph Embeddings

Large graph datasets on a chalkboard Relationships are everything – family, friends, mentors, colleagues, business contacts.  That’s true in life in general, but also in a great many applications of data science.  The connections between people, businesses, banks, and accounts can tell you if the flow of money is normal or a case of identity…

Stopping Cyberattacks With AI: Featured on Engineering Out Loud

Lately, Synaptiq has been collaborating with Galois on preventing cyberattacks using the combined brainpower of artificial intelligence and cybersecurity experts. It’s an exciting project, and the Engineering Out Loud podcast at OSU recorded an episode all about it. Give it a listen at their website, or directly from the embed below. You can also download it…

Cloud Provisioning Using Deep Reinforcement Learning

Our Chief Data Scientist Tim Oates recently co-published a research paper alongside Zhiguang Wang, Chul Gwon, and Adam Lezzi. Their work points to some compelling evidence that deep reinforcement learning can cut down on the costs of cloud computing. At eight pages, it’s not a dense read, and the results are strong and convincing. You…

Can Machines Decide What’s Worthwhile?

Is it Worthwhile? As a graduate student I periodically attended talks in the mathematics department. It would always be the same. A professor in the department would introduce the speaker. The speaker would read from a sheaf of papers and occasionally write or draw on the chalkboard. After an hour the speaker would finish and…

Deep Learning in the Real World

Our own Chief Data Scientist Dr. Tim Oates recently give a talk at the Thug Think conference in Portland, Oregon. He focused in on reinforcement learning, a branch of machine learning with exciting applications. Whether you’re familiar or brand new to the subject, his engaging presentation is going to be of interest to you. If…

GANs Are Hot- So What Is A GAN?

By Dr. Tim Oates, Chief Data Scientist Generative Adversarial Networks, or GANs, are one of the most exciting ideas in machine learning right now.  Yann LeCunn, perhaps best known for inventing Convolutional Neural Networks, said in a 2016 interview: The most important [new idea in machine learning], in my opinion, is adversarial training (also called…

How is Learning Even Possible?

By Jitendra Subramanyam We’re surrounded by the successes of machine learning. Self driving cars, sophisticated translation, being able to tell Alexa what music we want…. These sucessses are real, yet for most of us (myself included), they seem magical. As the science fiction writer Arthur Clarke wrote in 1973, “Any sufficiently advanced technology is indistinguishable…