Research and development of quantum computers continues to grow at a rapid pace. The U.S. government alone spent more than $800 million on quantum information science research in 2022. Thomas Scanlon, who leads the data science group in the SEI CERT Division, was recently invited to be a participant in the , co-sponsored by the National Science Foundation (NSF) and the White House Office of Science and Technology Policy, to examine the emerging field of cybersecurity for quantum computing. In this podcast from the Carnegie Mellon University Software Engineering Institute, Scanlon discusses how to create the discipline of cyber protection of quantum computing and outlines six areas of future research in quantum cybersecurity.

The Cybersecurity of Quantum Computing: 6 Areas of Research

Every now and then, the weekly Tech Shift F9 podcast produces a longer-form episode, the Deep Dive, where we explore a career in detail. This week I am excited to host Marko Simic. Marko is the former Chief Technology Officer at Ascent Robotics, a leading provider of intelligent solutions for industrial robotics and autonomous mobility. Marko is an Artificial Intelligence and Machine learning specialist and we’ll deep dive with him on what it’s like to be a senior software engineer in the exciting space of AI.

TSF9's Deep Dive with Marko Simic: the life of an AI Software Engineer

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.

ChatGPT and the Evolution of Large Language Models

In this episode, Nsikan Essien talks with Hywel Carver and Suhail Patel about developer upskilling and generative AI. Together, they explore the following topics: the software engineer’s learning journey, the ways current generative AI technologies could help or hinder it, and what the role of the software engineer becomes with powerful AI technologies.

Read a transcript of this interview: https://bit.ly/42dVmTC

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Transcript

Developer Upskilling and Generative AI with Hywel Carver and Suhail Patel

As developers continue to build greater autonomy into&nbsp;&nbsp;(CPSs), such as unmanned aerial vehicles (UAVs) and automobiles, these systems aggregate data from an increasing number of sensors. However, more sensors not only create more data and more precise data, but they require a complex architecture to correctly transfer and process multiple data streams. This increase in complexity comes with additional challenges for functional verification and validation, a greater potential for faults, and a larger attack surface. What’s more, CPSs often cannot distinguish faults from attacks. To address these challenges, researchers from the SEI and Georgia Tech collaborated on an effort to map the problem space and develop proposals for solving the challenges of increasing sensor data in CPSs. In this podcast from the Carnegie Mellon University Software Engineering Institute, Jerome Hugues, a principal researcher in the SEI Software Solutions Division, discusses this collaboration and its larger body of work, &nbsp;(SAFIR) Synthesis for Time-Sensitive Cyber-Physical Systems.

The Impact of Architecture on Cyber-Physical Systems Safety

It's here: The 39 Best Coding Bootcamps of 2024! We've rounded up the best, immersive web development bootcamps around the world. The bootcamps included in this list teach students the skills needed to become a software engineer or web developer by teaching full stack programming languages. Take a look at our methodology and the full list here: https://www.coursereport.com/best-coding-bootcamps

The 39 Best Coding Bootcamps of 2024

Increasingly in government acquisition of software-intensive systems, we are seeing programs using Agile development methodology and earned value management. While there are many benefits to using both Agile and EVM, there are important considerations that software program managers must first address. In this podcast, Patrick Place, a senior engineer, and Stephen Wilson, a test engineer, both with the SEI Agile Transformation Team, discuss seven considerations for successful use of Agile and EVM. &nbsp;

When Agile and Earned Value Management Collide: 7 Considerations for Successful Interaction

Modern software engineering practices of  and  have provided a foundation for producing working software products faster and more reliably than ever before. Far too often, however, these practices do not address the non-software concerns of business mission and capability delivery even though these concerns are critical to the successful delivery of a software product. Through our work with government organizations, we have found that expanding DevSecOps beyond product development enables other teams to increase their capabilities and improve their processes. Agile methodologies are also being used for complex system and hardware developments. In this podcast from the Carnegie Mellon University Software Engineering Institute, Lyndsi Hughes, a senior systems engineer and David Sweeney, an associate software developer, both with the SEI CERT Division, share their experiences leveraging DevSecOps pipelines in atypical situations in support of teams focused on the capability delivery and business mission for their organizations.

Atypical Applications of Agile and DevSecOps Principles

At the request of the White House, the Office of the Director of National Intelligence (ODNI) began exploring use cases for large language models (LLMs) within the Intelligence Community (IC). As part of this effort, ODNI sponsored the Mayflower Project at Carnegie Mellon University’s Software Engineering Institute (SEI) from May 2023 through September 2023. The Mayflower Project attempted to answer the following questions:    How might the IC set up a baseline, stand-alone LLM?   How might the IC customize LLMs for specific intelligence use cases?   How might the IC evaluate the trustworthiness of LLMs across use cases?    In this SEI Podcast, Shannon Gallagher, AI engineering team lead, and Rachel Dzombak, special advisor to the director of the SEI’s AI Division, discuss the findings and recommendations from the Mayflower Project and provides additional background information about LLMs and how they can be engineered for national security use cases.

Using Large Language Models in the National Security Realm

Across the globe, women account for less than 30 percent of professionals in technical fields. That number drops to 22 percent in the field of Artificial Intelligence (AI). In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Violet Turri, a software developer in the SEI’s AI Division, discusses the evolution of her career in AI and the importance of diversity in the field.&nbsp;

The Importance of Diversity in Artificial Intelligence: Violet Turri

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Suzanne Miller, a principal researcher in the SEI’s Software Solutions Division, discusses her career path, the value of mentorship,&nbsp;and&nbsp;the importance of diversity in software engineering.

The Importance of Diversity in Software Engineering: Suzanne Miller

In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Ware, a senior cybersecurity engineer in the SEI’s CERT Division, discusses her career path, the value of mentorship, and the importance of diversity in cybersecurity.

The Importance of Divesity in Cybersecurity: Carol Ware

With the increasing complexity of software systems, the use of third-party components has become a widespread practice. Cyber disruptions, such as SolarWinds and Log4j, demonstrate the harm that can occur when organizations fail to manage third-party components in their software systems. In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Woody, principal researcher, and Michael Bandor, a senior software engineer, discuss a Software Bill of Materials (SBOMs) framework to help promote the use of SBOMs and establish a more comprehensive set of practices and processes that organizations can leverage as they build their programs. They also offer guidance for government agencies who are interested in incorporating SBOMs into their work.&nbsp;

Developing and Using a Software Bill of Materials Framework

Sam Procter started out studying computer science at the University of Nebraska, but he didn’t love it. It wasn’t until he took his first software engineering course that he knew he’d found his career path. In this podcast from the Carnegie Mellon University Software Engineering Institute, Sam Procter discusses the early influences that shaped his career, the importance of embracing different types of diversity in his research and work, and the value of a work-life balance.

My Story in Computing with Sam Procter

موقع شركة Sprints
https://sprints.ai/
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صفحات سوشيال ميديا لشركة Sprints
https://www.linkedin.com/company/sprintsai
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أنا يحيى العربي مهندس برمجيات شغال بقالي أكتر من 10 سنين في المجال. هدفي في الفيديوهات اللي بنزلها اني انشر الوعي البرمجي وانقلكم خبرتي وتجاربي في السوق عشان تستفيدوا منها ومتكرروش نفس الاخطاء.
وبتمنى التوفيق للجميع
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البداية الصح في مجال البرمجة | بسام شرقاوي الشريك المؤسس لشركة سبرنتس

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Not all paths to cybersecurity careers look the same. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Randy Trzeciak, deputy director of cyber risk and resilience in the SEI’s CERT division, discusses his career journey, resources for pursuing a career in cybersecurity, and the importance of building a diverse workforce.

Cyber Career Pathways and Opportunities

Developers know that static analysis helps make code more secure. However, static analysis tools often produce a large number of false positives, hindering their usefulness. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda, a software security engineer in the SEI’s CERT Division, discusses Redemption, a new open source tool from the SEI that automatically repairs common errors in C/C++ code generated from static analysis alerts, making code safer and static analysis less overwhelming.

Automated Repair of Static Analysis Alerts

A podcast dedicated to reinventing your career in the age of technology. Hear from seasoned professionals about their experience and pivot yourself into a great career!

We talk about everything to do with coding bootcamps and technology education, including gender parity, scholarships, and the latest industry news.

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Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.

The SEI is a nonprofit, public–private partnership conducting R&D in software engineering, systems engineering, cybersecurity, and many other areas of computing, working to introduce private-sector innovations into government.

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