Listen Score
LS 31
Global Rank
TOP 5%

MENGENAI PODCAST INI 🔗

Kekerapan kemas kini:
every 18 days
Purata panjang audio:
25 minutes
Temu bual tetamu
Bahasa Inggeris
Amerika Syarikat
437 episod
sejak 17 Okt 2006
episodic

EPISOD TERKINI 🔗

AI components, whether traditional machine learning or generative AI, are embedded in many present-day systems. However, despite advances in automation, infrastructure, and tooling for developing AI components, many do not leave the prototype stage or reach production because they fail to meet ...

CARI EPISOD LEPAS

Cari episod lepas bagi Software Engineering Institute (SEI) Podcast Series.

EPISOD SEBELUMNYA

The recent explosion in large language model (LLM) technology has highlighted the challenges of using public generative artificial intelligence tools in classified environments, especially for software analysis. Currently, software analysis falls on the shoulders of static analysis tools and ma ...
Data breaches remind us of the importance of cyber resilience as an essential element of survivability and continuity of operations for all organizations, especially those operating mission-essential systems, high-value systems, and/or critical assets. Resilience is also critical to reducing the ...
Software-defined warfare is today's reality for national security, shifting the emphasis in military operations from hardware to software. In the latest podcast from the Carnegie Mellon University Software Engineering Institute, SEI director Paul Nielsen recently sat down with Matthew Butkovic, ...
In aviation, waypoints guide pilots through complex flight plans, providing some structure but maintaining flexibility. Kevin Dooley, a senior Agile transformation leader at the SEI, adopted this concept to solve one of defense acquisition's most persistent challenges: synchronizing dozens of in ...
Experimentation and validation of LLM performance is critical when building LLM-driven systems that must reliably deliver a service, from customer service chat bots to intelligence analysis tools. To help teams meet the need for rigorous evaluation methods, a research team in the SEI's AI Divisi ...
Data poisoning—where adversaries tamper with training data to corrupt model behavior—poses significant risks as AI adoption expands across critical sectors. Organizations without mechanisms in place to detect or prevent data poisoning are open to an avenue of attack that, once exploited, is diff ...
As recently as December 2025, the Carnegie Mellon University Software Engineering Institute (SEI's) CERT Coordination Center (CERT/CC) documented a UEFI-related vulnerability in certain motherboard models, illustrating that early-boot firmware behavior continues to present security challenges de ...
In February 2026, Paul Nielsen announced that he will transition out of his role as director and chief executive officer of the Software Engineering Institute (SEI) at Carnegie Mellon University. During Nielsen's tenure, the SEI has marked major institutional milestones that underscore its endur ...
Cybersecurity staffing shortages are a major concern in the government given the increasingly sophisticated cyber attacks on the nation's critical infrastructure. In the FY2023 National Defense Authorization Act (NDAA), Congress tasked the Pentagon with finding flexible options to address cyber ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Members of Technical Staff at the Software Engineering Institute, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.