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محتوای ارائه شده توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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This Is Woman's Work with Nicole Kalil


We’ve turned intuition into a buzzword—flattened it into a slogan, a gut feeling, or a vague whisper we don’t always know how to hear. But what if intuition is so much more? What if it's one of the most powerful tools we have—and we’ve just forgotten how to use it? In this episode, I’m joined by Hrund Gunnsteinsdóttir , Icelandic thought leader, filmmaker, and author of InnSæi: Icelandic Wisdom for Turbulent Times . Hrund has spent over 20 years studying and teaching the science and art of intuition through her TED Talk, Netflix documentary (InnSæi: The Power of Intuition), and global work on leadership, innovation, and inner knowing. Together, we explore what intuition really is (hint: not woo-woo), how to cultivate it in a culture obsessed with logic and overthinking, and why your ability to listen to yourself might be the most essential skill you can develop. In This Episode, We Cover: ✅ Why we’ve misunderstood intuition—and how to reclaim it ✅ Practical ways to strengthen your intuitive muscle ✅ What Icelandic wisdom teaches us about inner knowing ✅ How to use intuition during uncertainty and decision-making ✅ Why trusting yourself is an act of rebellion (and power) Intuition isn’t magic—it’s a deep, internal guidance system that already exists inside you. The question is: are you listening? Connect with Hrund: Website: www.hrundgunnsteinsdottir.com TedTalk: https://www.ted.com/talks/hrund_gunnsteinsdottir_listen_to_your_intuition_it_can_help_you_navigate_the_future?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare Newsletter: https://hrundgunnsteinsdottir.com/blog/ LI: www.linkedin.com/in/hrundgunnsteinsdottir IG: https://www.instagram.com/hrundgunnsteinsdottir/ Book: InnSæi: Icelandic Wisdom for Turbulent Times Related Podcast Episodes: How To Breathe: Breathwork, Intuition and Flow State with Francesca Sipma | 267 VI4P - Know Who You Are (Chapter 4) Gentleness: Cultivating Compassion for Yourself and Others with Courtney Carver | 282 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music Learn more about your ad choices. Visit megaphone.fm/adchoices…
Improving Machine Learning Test and Evaluation with MLTE
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محتوای ارائه شده توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the U.S. Army AI Integration Center (AI2C) discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can aid organizations across the DoD in more effectively negotiating, documenting, and evaluating model and system qualities.
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Manage episode 469473241 series 3018913
محتوای ارائه شده توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the U.S. Army AI Integration Center (AI2C) discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can aid organizations across the DoD in more effectively negotiating, documenting, and evaluating model and system qualities.
…
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Software Engineering Institute (SEI) Podcast Series

1 Deploying on the Edge 1:01:02
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Deploying cloud-centric technologies such as Kubernetes in edge environments poses challenges, especially for mission-critical defense systems. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Patrick Earl, Doug Reynolds, and Jeffrey Hamed, all DevOps engineers in the SEI's Software Solutions Division, sit down with senior reesearcher Jose Morales to discuss a recent case study involving the deployment of a hypervisor onto edge devices in a resource-constrained environment.…
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Software Engineering Institute (SEI) Podcast Series

A strong cyber defense is vital to public- and private-sector activities in the United States. In 2019, in response to an executive order to strengthen America’s cybersecurity workforce, the Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency (CISA) partnered with the SEI to develop and run the President’s Cup Cybersecurity Competition, a national cyber competition that identifies and rewards the best cybersecurity talent in the federal workforce. In six years, more than 8,000 people have taken part in the President’s Cup. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Jarrett Booz, technical lead for the President’s Cup, and John DiRicco, a training specialist in the SEI’s CERT Division, sit down with Matthew Butkovic, the CERT technical director of cyber risk and resilience, to reflect on six years of hosting the cup, including challenges, lessons learned, the path forward, and publicly available resources.…
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Software Engineering Institute (SEI) Podcast Series

Evaluating source code to ensure secure coding qualities costs time and effort and often involves static analysis. But those who are familiar with static analysis tools know that the alerts are not always reliable and produce false positives that must be detected and disregarded. This year, we plan on making some exciting updates to the SEI CERT C Coding Standard to better harmonize with the current state of the art for static analysis tools as well as simplify the process of source code security auditing. In this SEI podcast, David Svobodaand Joseph Sible, both engineers in CERT’s Applied Systems Group and primary developers and maintainers of the standard, sit down with Robert Schiela, deputy technical director of the Cybersecurity Foundations Directorate in CERT, to discuss the proposed changes, specifically in the area of risk assessment.…
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Software Engineering Institute (SEI) Podcast Series

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Gregory Touhill, director of the SEI CERT Division, sits down with Matthew Butkovic, technical director of Cyber Risk and Resilience at CERT, to discuss ways in which CERT researchers and technologists are working to deliver rapid capability to warfighters in the Department of Defense.…
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Software Engineering Institute (SEI) Podcast Series

Insider incidents cause around 35 percent of data breaches, creating financial and security risks for organizations. In this podcast from the Carnegie Mellon University Software Engineering Institute, Austin Whisnant and Dan Costa discuss the Insider Incident Data Expression Standard (IIDES), a new schema for collecting and sharing data about insider incidents. IIDES facilitates insider incident information handling to help organizations better protect themselves against the compromise of sensitive information and mission-critical systems, which is essential to maintaining national security and defense.…
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Software Engineering Institute (SEI) Podcast Series

Grace Lewis , a principal researcher at the Carnegie Mellon University Software Engineering Institute (SEI) and lead of the SEI’s Tactical and AI-Enabled Systems Initiative, was elected the 2026 president of the IEEE Computer Society (CS), the largest community of computer scientists and engineers, with more than 370,000 members around the world. In this SEI podcast, Lewis sits down with Ipek Ozkaya, technical director of Engineering Intelligent Software Systems, to discuss her vision and plans for the IEEE CS presidency.…
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Software Engineering Institute (SEI) Podcast Series

Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the U.S. Army AI Integration Center (AI2C) discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can aid organizations across the DoD in more effectively negotiating, documenting, and evaluating model and system qualities.…
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Software Engineering Institute (SEI) Podcast Series

As software size, complexity, and interconnectedness has grown, software modernization within the Department of Defense (DoD) has become more important than ever. In this discussion moderated by Matthew Butkovic, technical director of risk and resilience in the SEI CERT Division, SEI director Paul Nielsen outlines the SEI’s work with the DoD on software modernization, including controlling the attack surface, incorporating industry practices such as DevSecOps, and the interplay between software, cybersecurity, and AI.…
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Software Engineering Institute (SEI) Podcast Series

Containerization allows developers to run individual software applications in an isolated, controlled, repeatable way. With the increasing prevalence of cloud computing environments, containers are providing more and more of their underlying architecture. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Sasank Venkata Vishnubhatla and Maxwell Trdina, both engineers in the SEI CERT Division, sit down with Tim Chick, technical manager of the Applied Systems Group, to explore issues surrounding containerization, including recent vulnerabilities.…
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Software Engineering Institute (SEI) Podcast Series

Software cost estimation is an important first step when beginning a project. It addresses important questions regarding budget, staffing, scheduling, and determining if the current environment will support the project. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Anandi Hira, a data scientist on the SEI’s Software Engineering Measurement and Analysis team sits down with Bill Nichols, principal engineer and SEI data science team lead, to discuss software cost estimation including various metrics, best practices, and common challenges when developing or building a model.…
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Software Engineering Institute (SEI) Podcast Series

One of the biggest challenges in collecting cybersecurity metrics is scoping down objectives and determining what kinds of data to gather. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Bill Nichols, who leads the SEI’s Software Engineering Measurements and Analysis Group, discusses the importance of cybersecurity measurement, what kinds of measurements are used in cybersecurity, and what those metrics can tell us about cyber systems.…
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Software Engineering Institute (SEI) Podcast Series

To make secure software by design a reality, engineers must intentionally build security throughout the software development lifecycle. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Timothy A. Chick, technical manager of the Applied Systems Group in the SEI’s CERT Division, discusses building, designing, and operating secure systems.…
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Software Engineering Institute (SEI) Podcast Series

Harmful biases in large language models (LLMs) make AI less trustworthy and secure. Auditing for biases can help identify potential solutions and develop better guardrails to make AI safer. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Katie Robinson and Violet Turri, researchers in the SEI’s AI Division, discuss their recent work using role-playing game scenarios to identify biases in LLMs.…
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Software Engineering Institute (SEI) Podcast Series

In the wake of widespread adoption of artificial intelligence (AI) in critical infrastructure, education, government, and national security entities, adversaries are working to disrupt these systems and attack AI-enabled assets. With nearly four decades in vulnerability management, the Carnegie Mellon University Software Engineering Institute (SEI) recognized a need to create an entity that would identify, research, and identify mitigation strategies for AI vulnerabilities to protect national assets against traditional cybersecurity, adversarial machine learning, and joint cyber-AI attacks. In this SEI podcast, Lauren McIlvenny, director of threat analysis in the SEI’s CERT Division, discusses best practices and lessons learned in standing up an AI Security Incident Response Team (AISIRT).…
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Software Engineering Institute (SEI) Podcast Series

The exposed and public nature of application programming interfaces (APIs) come with risks including the increased network attack surface. Zero trust principles are helpful for mitigating these risks and making APIs more secure. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), McKinley Sconiers-Hasan, a solutions engineer in the SEI CERT Division, discusses three API risks and how to address them through the lens of zero trust.…
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