Once upon a time, when it was uncommon to wear a medical mask in public, I was a mechanical engineering student at the University of Oklahoma. As anyone who’s been to the Southeast will know, Oklahoma is oil country. Therefore, when I went to the career fair in the Spring semester of my junior year, I had filtered out all of the companies that had anything to do with the petroleum industry. I was left with only a few companies that piqued my interest. One of these companies was MITRE.
As data science has exploded in popularity and use, so have the tools used to solve problems in the domain. Some of these open source programs and programming suites have become extremely popular, and thus developers have designed a whole host of code that might be referred to as add-ons, extensions, and packages to improve functionality and save time for users, both experienced and new.
So You Want to Think Like a Data Scientist? The Importance of Visualizations in the Data Science Workflow
Although the moniker data scientist implies that the role centers around manipulating data and modeling it, visualizing data and creating visualizations are an integral part of the daily workflow for practicing data scientists like me. Not only do visualizations allow us to communicate results quickly and efficiently, but visualizing is a key tool during exploratory data analysis, data cleaning, modeling, and other steps of the process of telling stories with numbers.
As graduating seniors at Florida International University (FIU), Charlie Ramirez and Sephora Jean-Mary headed into their final semester aiming to find a real-life business problem they could solve. Their senior design capstone project was supposed to enable these two front-end developers to display what they’d already learned as computer science students.
MITRE has taken on a challenge: to shape America’s future workforce and economy by alerting college students to the power of artificial intelligence (AI). That vision is now taking shape at schools across the country through an initiative known as Generation AI Nexus (Gen AI).
Most organizations typically plan for one type of opponent (one future) even though a better approach would be preparing for multiple opponents (multiple futures), building in the much-needed resiliency. One approach that helps build this resiliency into organization is Strategic Foresight, an approach developed by Herman Kahn in the 1950s to help the US contemplate and plan for various outcomes of the Cold War including Mutually Assured Destruction (MAD) using applications from game theory.
Instead of hitting the beach over the third weekend in September, more than 1,000 students from several Florida and southeast universities loaded up on caffeine, went without sleep, and were driven by a “will to do good.”
How do we balance the desire of organizations to harness big data’s power with the need to prevent potential harm to individuals or populations? For health care, MITRE developed a framework to promote the ethical use of consumer-generated lifestyle data.
Dr. Philip Barry is the Technical Director for Modeling, Simulation, Experiments, & Analysis here at MITRE. When he’s not leading simulations work, he is teaching Risk Management at George Mason. Ever focused on bringing new tools and methodologies into the classroom, Dr. Barry partnered with George Mason and Joe Garner and Ali Zaidi from MITRE’s Generation AI Nexus (Gen AI) team, to create a first-of-its-kind lesson blending risk management with artificial intelligence (AI).
So you’ve heard about Symphony™ – MITRE’s automated provisioning framework that rapidly builds secure analytic cells for geospatial, AI, and machine learning applications. Have you tried explaining it to a college student?
Welcome to the second installment of the Knowledge-Driven Podcast. In this series, Software Systems Engineer Cameron Boozarjomehri interviews technical leaders at MITRE who have made knowledge sharing and collaboration an integral part of their practice.
Welcome to the first installment of the Knowledge-Driven Podcast. In this new series, Software Systems Engineer Cameron Boozarjomehri interviews technical leaders at MITRE who have made knowledge sharing and collaboration an integral part of their practice.
Science is “the systematic study of the structure and behavior of the physical and natural world through observation and experimentation.” Since its emergence during the late renaissance, scientific progress has been made primarily through the aptly named scientific method.
How do we prepare for the inevitable change in the world today? How do we take into account not just the way the world is now – but the way it looks in the future?
Somewhere on a whiteboard in a classroom at the Universities of Shady Grove, swims a fish. Drawn in black marker, complete with a fedora, sunglasses, and a goatee, the sketchy-looking ichthyoid intones into a word bubble…
Is artificial intelligence (AI) the way of the future… or already the way of the present?
Applications of AI surround us in our daily lives – ever use an app to get around traffic? How about checking your social media feeds? As our society integrates AI into our daily lives, it’s important to note that the upcoming generation has always lived with AI.
The process of neural interactions and visual interpretation happens every time your brain wants to identify literally anything you look at.
The Emerging Technologies program is now a major undertaking for MITRE. It draws upon contributions from staff at all levels of the company, including many who were not mentors or student investigators.
Imagine waiting 30 minutes or longer to get through to a customer service center and when your call is finally answered, you can’t understand what the service representative is saying because you have a hearing impairment. Or you place a call to your doctor but aren’t able to communicate your needs to the medical staff because your speech is impaired. Or you are a child with autism and being in a classroom and interacting with your teacher and classmates overwhelms you with anxiety.
MITRE believes that data is the next medical innovation in health. How might connecting people and data reinvent the health experience? To find out, a team of researchers developed Home Assessments for Prompt Intervention (HAPI), a serious game that uses Microsoft Kinect-based joint tracking to detect critical changes in patients with cerebral palsy…