[ad_1]
As a part of an ongoing effort to maintain you knowledgeable about our newest work, this weblog publish summarizes some latest publications from the SEI within the areas of machine studying, moral synthetic intelligence, cloud adoption, and mixed-criticality techniques. These publications spotlight the newest work of SEI technologists in these areas.
We’ve additionally included hyperlinks to a lately printed e-book and accompanying podcast that’s the results of a multi-year analysis and growth imaginative and prescient and roadmap for engineering next-generation software-reliant techniques.
This publish features a itemizing of every publication, writer(s), and hyperlinks the place they are often accessed on the SEI web site.
Architecting the Way forward for Software program Engineering: A Nationwide Agenda for Software program Engineering Analysis & Growth
by Anita Carleton, Mark H. Klein, John E. Robert, Erin Harper, Robert Okay Cunningham, Dionisio de Niz, John T. Foreman, John B. Goodenough, James D. Herbsleb, Ipek Ozkaya, Douglas Schmidt (Vanderbilt College), Forrest Shull
Software program is significant to our nation’s international competitiveness, innovation, and nationwide safety. It additionally ensures our fashionable lifestyle and allows continued advances in protection, infrastructure, healthcare, commerce, schooling, and leisure. As a part of its work as a federally funded analysis and growth middle (FFRDC) centered on utilized analysis to enhance the apply of software program engineering, the Carnegie Mellon College Software program Engineering Institute led the neighborhood in creating this multi-year analysis and growth imaginative and prescient and roadmap for engineering next-generation software-reliant techniques.
An government abstract can be out there.
Take heed to/view the podcast by Anita Carleton and Forrest Shull detailing this initiative.
Utilizing Machine Studying to Enhance NPC Constancy
by Dustin D. Updyke, Thomas G. Podnar, Geoffrey B. Dobson, John Yarger
Experiences that appear actual to gamers in coaching and train eventualities improve studying. Enhancing the constancy of automated non-player characters (NPCs) can improve the extent of realism felt by gamers. On this report, we describe how we used machine studying (ML) modeling to create decision-making preferences for NPCs. In our analysis, we check ML options and ensure that NPCs can exhibit lifelike pc exercise that improves over time.
Obtain the SEI technical report.
Implementing the DoD’s Moral AI Rules
by Alexandrea Van Deusen and Carol J. Smith
Alexandrea Van Deusen and Carol Smith, each with the SEI’s AI Division, focus on a latest mission by which they helped the Protection Innovation Unit (DIU) of the U.S. Division of Protection to develop pointers for the accountable use of synthetic intelligence (AI), based mostly on the DoD’s Moral Rules for AI. These pointers can function a information for organizations in business and authorities to implement accountable AI issues into apply in real-world applications.
View/hearken to the podcast.
A Prototype Set of Cloud Adoption Threat Elements
by Christopher J. Alberts
This report presents the outcomes of a examine that the SEI carried out to establish a prototype set of threat components for the adoption of cloud applied sciences. These threat components cowl a broad vary of potential issues that may have an effect on a cloud initiative, together with enterprise technique and processes, expertise administration and implementation, and organizational tradition.
The publication of this report is an preliminary step within the growth of cloud adoption threat components quite than the end result of SEI work on this space. This report identifies a variety of potential future growth and transition duties associated to the MRD for cloud adoption. The SEI MRD methodology defines a time-efficient, mission-oriented strategy for assessing threat in mission threads, enterprise processes, and organizational initiatives.
Obtain the white paper.
Cloud Safety Finest Practices Derived from Mission Thread Evaluation
by Timothy Morrow, Vincent LaPiana, Donald Faatz, Angel Luis Hueca, Nathaniel Richmond
This report presents 4 essential safety practices which can be sensible and efficient for enhancing the cybersecurity posture of cloud-deployed info expertise (IT) techniques. These practices assist to handle the dangers, threats, and vulnerabilities that organizations face in deploying or transferring purposes and techniques to a cloud service supplier (CSP).
The practices handle cloud safety points that customers are experiencing, illustrated by a number of latest cloud safety incidents. The report demonstrates the practices by examples utilizing cloud companies out there from Amazon Internet Service (AWS), Microsoft, and Google.
The introduced practices are geared towards small and medium-sized organizations; nevertheless, all organizations, unbiased of measurement, can use these practices to enhance the safety of their cloud utilization. The main target right here is on hybrid deployments the place some IT purposes deploy or transfer to a CSP whereas different IT purposes stay within the group’s knowledge middle. Small and medium-sized organizations doubtless have restricted sources; the place attainable, these practices describe implementation approaches which may be efficient in limited-resource conditions.
This report is a 2021 replace of a previous report.
Obtain the SEI technical report.
Evolvable Technical Reference Frameworks for Combined-Criticality Programs
by Nickolas Guertin and Douglas Schmidt
Nickolas Guertin and Douglas Schmidt speak with Suzanne Miller about methods for creating architectures for large-scale, advanced techniques that comprise features with a variety of necessities. This is among the most difficult areas in U.S. Division of Protection acquisition, and this strategy and the methods mentioned are essential to the way forward for our massive techniques.
Take heed to/view the podcast.
[ad_2]
