Personalized Medicine and Machine Learning

Have you ever had a friend recommend a book or a diet or a workout program because “it changed my life!,” only to try it and think … “meh”?  Very often, what works really well for one person doesn’t work for another because we’re all different in ways that are sometimes obvious, but in most cases are…

Applying Graphs and AI to Hospital Logistics

Several years ago I had the pleasure of working with some doctors at a local trauma hospital on a research project.  As with many organizations that excel at their core mission, the quality of the medical care this hospital offered was truly unparalleled, but many of the supporting functions were in need of optimization.  For…

Applications of AI in Healthcare

We are passionate about helping people improve their health and are fortunate to work with amazing healthcare clients that have technology products serving providers, patients, and manufacturers.  A decade ago it would have been unthinkable that any commercial organization outside of an insurance company could unlock the value of their health data, but it’s clear…

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…