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.

AI & Technology: Lending a Hand to People with Disabilities

AI & Technology: Lending a Hand to People with Disabilities

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.

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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