To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.
Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems
Trust and AI Systems
A Dive into Deepfakes
Challenges and Metrics in Digital Engineering
The 4 Phases of the Zero Trust Journey
DevSecOps for AI Engineering
Undiscovered Vulnerabilities: Not Just for Critical Software
Explainable AI Explained
Model-Based Systems Engineering Meets DevSecOps
Incorporating Supply-Chain Risk and DevSecOps into a Cybersecurity Strategy
Software and Systems Collaboration in the Era of Smart Systems
Securing the Supply Chain for the Defense Industrial Base
Building on Ghidra: Tools for Automating Reverse Engineering and Malware Analysis
Envisioning the Future of Software Engineering
Implementing the DoD's Ethical AI Principles
Walking Fast Into the Future: Evolvable Technical Reference Frameworks for Mixed-Criticality Systems
Software Engineering for Machine Learning: Characterizing and Understanding Mismatch in ML Systems
A Discussion on Automation with Watts Humphrey Award Winner Rajendra Prasad
Enabling Transition From Sustainment to Engineering Within the DoD
The Silver Thread of Cyber in the Global Supply Chain
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