Interview with Jesse Buonanno on Blockchain
Jesse Buonanno, a Cyber Security Engineer at MITRE, focuses on cyber operations. Jesse spends his spare time learning about blockchain and cryptocurrencies.
Symphony™: Recipes for Success
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?
Interview with Dr. Michael Balazs on Generation AI Nexus
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.
Consequences and Tradeoffs—Dependability in Artificial Intelligence and Autonomy
Clinical diagnostic support. Loan approval. Predictive policing and parole. These are all examples of consequential systems, meaning that they are systems with immediate, long-term, impactful consequences on people within them.
Building Smarter Machines by Getting Smarter About the Brain
Artificial intelligence (AI) is getting better all the time. You can see it all around you, from Alexa and Siri keeping your appointments and shopping lists, to news articles about self-driving cars, to a program called AlphaZero (Silver et al., 2018) that will probably never lose to any human in chess or GO.
Is this a wolf? Understanding bias in machine learning
The process of neural interactions and visual interpretation happens every time your brain wants to identify literally anything you look at.
Consolidating Embedded Systems Security Through Education, Competition, and Business
Chances are, you’ve interacted with an embedded system today. Did you use a thermostat? How about a car? Or maybe a mobile phone? Or a television, a game console, an elevator, a train, a pacemaker?…
A Spin Around the Blockchain—Exploring Future Government Applications
Blockchain has essentially created a new type of internet in which information can be widely distributed without relying on traditional centralized architectures…
What Does It Mean for Artificial Intelligence to Achieve Parity with a Human? A Case Study of Neural Machine Translation
On March 12, 2018, Microsoft’s Artificial Intelligence (AI) and Research group announced: “We find that our latest neural machine translation system has reached a new state-of-the-art, and that the translation quality…
MITRE’s Summer of AI: Making Human-to-Machine Conversations Smarter with Artificial Intelligence
Intelligent voice assistants like Amazon’s Echo and Google Home are quickly becoming an integral part of our daily lives. Echo adoption …
Upgrading Machine Learning. Install Brain (Y/N)?
It’s both less scary and more thrilling than you might think—and we’ve been living with nascent versions of machine learning for some time in the form of cognitive assistance tools. Spellcheck, for example, and the suggestions for replies that Gmail now displays are...
When Intoxicado ≠ Intoxicated: Avoiding False Friends and Critical Consequences in Machine Translation
In Madam Bovary, Gustave Flaubert observed that “Human language is like a cracked kettle on which we beat out tunes for bears to dance to, when all the time we are longing to move the stars to pity.” Referring to the painful misconceptions that arise when we use...