Interview with Dan Ward, Debra Zides, and Lorna Tedder on streamlining acquisitions

Interview with Dan Ward, Debra Zides, and Lorna Tedder on streamlining acquisitions

In the FY16 National Defense Authorization Act (NDAA), Congress established two Middle Tier of Acquisition (MTA) Pathways to streamline the requirements, budget, and acquisition processes to provide technologies faster to meet emerging military needs. Rapid Prototyping focuses on using innovative technology to rapidly develop fieldable prototypes within 5 years.

Interview with Dr. Philip Barry on blending AI and education

Interview with Dr. Philip Barry on blending AI and education

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).

Interview with Ali Zaidi on designing lessons in artificial intelligence

Interview with Ali Zaidi on designing lessons in artificial intelligence

Ali Zaidi is a MITRE data scientist tackling an interesting challenge for MITRE as part of his work for Generation AI Nexus. As the fields of machine learning and data science have grown, the need for machine learning education has become a necessity of many fields few would associate with computer science.

Phish, Flags, and Lesson Plans: Upcoming Hackathon for Generation AI Nexus

Phish, Flags, and Lesson Plans: Upcoming Hackathon for Generation AI Nexus

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.

Naming the Elephant in the Room

Naming the Elephant in the Room

You may remember the childhood party game of Pin the Tail on the Donkey (or Bunny or Pig—depending on the party theme), where dizzy, blindfolded partygoers are challenged to position a paper tail closest to the correct location…

Applications in Data Science: A Serious Game for Individuals with Cerebral Palsy

Applications in Data Science: A Serious Game for Individuals with Cerebral Palsy

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…

Cultural Challenges in Data Science

Cultural Challenges in Data Science

In her previous post, Technical Challenges in Data Science, Amanda Andrei discussed the need for technical vigilance and with experts Dr. Elizabeth Hohman, statistician and group leader within MITRE’s Department of Data Analytics, and Dr. Eric Bloedorn, senior principal artificial intelligence engineer. Tools and models, however carefully managed, tell, of course, only part of the story. Data scientists are people, and they and the tools they use reside within organizational cultures, which may require as much training as the data to hand.—Editor

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