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Engineering Tactical and AI-Enabled Systems
Manage episode 322203175 series 1264075
In this episode, Grace Lewis and Shane McGraw discuss how the SEI is applying research, through its highly successful Tactical and AI-Enabled Systems (TAS) initiative, to develop foundational principles, innovative solutions, and best practices for architecting, developing, and deploying tactical and AI-enabled systems. These systems will provide solutions for teams operating in remote, tactical edge locations where computing resources are constrained.
Lewis and McGraw explain that the TAS initiative is seeking to add a software engineer to conduct research, build prototype technologies, and collaborate with military programs to introduce new technology. The results of this work will be seen in research papers that advance the state-of-the-art in software engineering and in the fielding of better tactical and AI-enabled systems.
We are hiring: Software Engineer https://cmu.wd5.myworkdayjobs.com/en-US/SEI/job/Pittsburgh-PA/Software-Engineer_2017511-1
166 قسمت
Manage episode 322203175 series 1264075
In this episode, Grace Lewis and Shane McGraw discuss how the SEI is applying research, through its highly successful Tactical and AI-Enabled Systems (TAS) initiative, to develop foundational principles, innovative solutions, and best practices for architecting, developing, and deploying tactical and AI-enabled systems. These systems will provide solutions for teams operating in remote, tactical edge locations where computing resources are constrained.
Lewis and McGraw explain that the TAS initiative is seeking to add a software engineer to conduct research, build prototype technologies, and collaborate with military programs to introduce new technology. The results of this work will be seen in research papers that advance the state-of-the-art in software engineering and in the fielding of better tactical and AI-enabled systems.
We are hiring: Software Engineer https://cmu.wd5.myworkdayjobs.com/en-US/SEI/job/Pittsburgh-PA/Software-Engineer_2017511-1
166 قسمت
همه قسمت ها
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1 An Introduction to the MLOps Tool Evaluation Rubric 1:00:23

1 A New Performance Zone for Software for National Security 1:02:23

1 Independent Verification and Validation for Agile Projects 1:02:23

1 Generative AI and Software Engineering Education 1:02:05

1 Using a Scenario to Reason About Implementing a Zero Trust Strategy 1:02:22

1 The Future of Software Engineering and Acquisition with Generative AI 1:32:10

1 Ask Us Anything: Generative AI Edition 1:30:37

1 Evaluating Trustworthiness of AI Systems 1:02:08

1 Leveraging Software Bill of Materials Practices for Risk Reduction 1:02:03

1 Top 5 Challenges to Overcome on Your DevSecOps Journey 1:00:36

1 Improving Analytics Using Enriched Network Flow Data 1:02:25

1 How Can Data Science Solve Cybersecurity Challenges? 1:00:01

1 AI Next Generation Architecture 1:01:44

1 Addressing Supply Chain Risk and Resilience for Software-Reliant Systems 1:01:31


1 Finding Your Way with Software Engineering Buzzwords 1:01:38




1 Exploring an AI Engineering Body of Knowledge 1:02:21

1 What are Deepfakes, and How Can We Detect Them? 1:00:00

1 Adapting Agile and DevSecOps to Improve Non-Software Development Teams 1:03:07


1 Ask Us Anything: Zero Trust Edition 1:02:27





1 The Future of AI: Scaling AI Through AI Engineering 1:01:59

1 AI Engineering: Ask Us Anything About Building AI Better 1:04:47

1 Balanced Approaches to Insider Risk Management 1:00:53

1 Software Development Open Forum: Ask Hasan Anything! 1:03:02

1 Software Supply Chain Concerns for DevSecOps Programs 1:03:47

1 How Do We Teach Cybersecurity? 1:00:17

1 Software Supply Chain Concerns for DevSecOps Programs 1:01:06

1 Announcing IEEE 2675 DevOps Standard to Build Reliable and Secure Systems 1:03:29

1 AI Engineering: The National Initiative for Human-Centered, Robust and Secure, and Scalable AI 1:02:20

1 Amplifying Your Privacy Program: Strategies for Success 1:01:06

1 DevOps Enables Digital Engineering 1:00:44
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