Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      Top 15 Enterprise Use Cases That Justify Hiring Node.js Developers in 2025

      July 31, 2025

      The Core Model: Start FROM The Answer, Not WITH The Solution

      July 31, 2025

      AI-Generated Code Poses Major Security Risks in Nearly Half of All Development Tasks, Veracode Research Reveals   

      July 31, 2025

      Understanding the code modernization conundrum

      July 31, 2025

      Not just YouTube: Google is using AI to guess your age based on your activity – everywhere

      July 31, 2025

      Malicious extensions can use ChatGPT to steal your personal data – here’s how

      July 31, 2025

      What Zuckerberg’s ‘personal superintelligence’ sales pitch leaves out

      July 31, 2025

      This handy NordVPN tool flags scam calls on Android – even before you answer

      July 31, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      See Your WordPress Scheduled Tasks (Cron Jobs)

      July 31, 2025
      Recent

      See Your WordPress Scheduled Tasks (Cron Jobs)

      July 31, 2025

      Cypress Automation: Tag-Based Parallel Execution with Custom Configuration

      July 31, 2025

      Why Real-Time Voice Translation Is a Game-Changer for Global Contact Centers

      July 31, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured

      FOSS Weekly #25.31: Kernel 6.16, OpenMandriva Review, Conky Customization, System Monitoring and More

      July 31, 2025
      Recent

      FOSS Weekly #25.31: Kernel 6.16, OpenMandriva Review, Conky Customization, System Monitoring and More

      July 31, 2025

      Windows 11’s MSN Widgets board now opens in default browser, such as Chrome (EU only)

      July 31, 2025

      Microsoft’s new “move to Windows 11” campaign implies buying OneDrive paid plan

      July 31, 2025
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Development»Artificial Intelligence»Artificial intelligence enhances air mobility planning

    Artificial intelligence enhances air mobility planning

    April 25, 2025

    Every day, hundreds of chat messages flow between pilots, crew, and controllers of the Air Mobility Command’s 618th Air Operations Center (AOC). These controllers direct a thousand-wide fleet of aircraft, juggling variables to determine which routes to fly, how much time fueling or loading supplies will take, or who can fly those missions. Their mission planning allows the U.S. Air Force to quickly respond to national security needs around the globe.

    “It takes a lot of work to get a missile defense system across the world, for example, and this coordination used to be done through phone and email. Now, we are using chat, which creates opportunities for artificial intelligence to enhance our workflows,” says Colonel Joseph Monaco, the director of strategy at the 618th AOC, which is the Department of Defense’s largest air operations center.

    The 618th AOC is sponsoring Lincoln Laboratory to develop these artificial intelligence tools, through a project called Conversational AI Technology for Transition (CAITT).

    During a visit to Lincoln Laboratory from the 618th AOC’s headquarters at Scott Air Force Base in Illinois, Colonel Monaco, Lieutenant Colonel Tim Heaton, and Captain Laura Quitiquit met with laboratory researchers to discuss CAITT. CAITT is a part of a broader effort to transition AI technology into a major Air Force modernization initiative, called the Next Generation Information Technology for Mobility Readiness Enhancement (NITMRE).

    The type of AI being used in this project is natural language processing (NLP), which allows models to read and process human language. “We are utilizing NLP to map major trends in chat conversations, retrieve and cite specific information, and identify and contextualize critical decision points,” says Courtland VanDam, a researcher in Lincoln Laboratory’s AI Technology and Systems Group, which is leading the project. CAITT encompasses a suite of tools leveraging NLP.

    One of the most mature tools, topic summarization, extracts trending topics from chat messages and formats those topics in a user-friendly display highlighting critical conversations and emerging issues. For example, a trending topic might read, “Crew members missing Congo visas, potential for delay.” The entry shows the number of chats related to the topic and summarizes in bullet points the main points of conversations, linking back to specific chat exchanges.

    “Our missions are very time-dependent, so we have to synthesize a lot of information quickly. This feature can really cue us as to where our efforts should be focused,” says Monaco.

    Another tool in production is semantic search. This tool improves upon the chat service’s search engine, which currently returns empty results if chat messages do not contain every word in the query. Using the new tool, users can ask questions in a natural language format, such as why a specific aircraft is delayed, and receive intelligent results. “It incorporates a search model based on neural networks that can understand the user intent of the query and go beyond term matching,” says VanDam.

    Other tools under development aim to automatically add users to chat conversations deemed relevant to their expertise, predict the amount of ground time needed to unload specific types of cargo from aircraft, and summarize key processes from regulatory documents as a guide to operators as they develop mission plans.

    The CAITT project grew out of the DAF–MIT AI Accelerator, a three-pronged effort between MIT, Lincoln Laboratory, and the Department of the Air Force (DAF) to develop and transition AI algorithms and systems to advance both the DAF and society. “Through our involvement in the AI Accelerator via the NITMRE project, we realized we could do something innovative with all of the unstructured chat information in the 618th AOC,” says Heaton.

    As laboratory researchers advance their prototypes of CAITT tools, they have begun to transition them to the 402nd Software Engineering Group, a software provider for the Department of Defense. That group will implement the tools into the operational software environment in use by the 618th AOC. 

    Source: Read More 

    Facebook Twitter Reddit Email Copy Link
    Previous ArticleNovel method detects microbial contamination in cell cultures
    Next Article YouTube Tests AI Feature That Will Completely Change How You Search for Videos

    Related Posts

    Artificial Intelligence

    Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

    July 31, 2025
    Repurposing Protein Folding Models for Generation with Latent Diffusion
    Artificial Intelligence

    Repurposing Protein Folding Models for Generation with Latent Diffusion

    July 31, 2025
    Leave A Reply Cancel Reply

    For security, use of Google's reCAPTCHA service is required which is subject to the Google Privacy Policy and Terms of Use.

    Continue Reading

    SonicWall SMA100 SSL-VPN’s actief aangevallen via path traversal-lek

    Security

    Handling JavaScript Event Listeners With Parameters

    Tech & Work

    CVE-2025-53312 – OnionBuzz Looks Awesome CSRF Stored XSS

    Common Vulnerabilities and Exposures (CVEs)

    With Windows 10’s fast-approaching demise, this Linux migration tool could let you ditch Microsoft’s ecosystem with your data and apps intact — but it’s limited to one distro

    News & Updates

    Highlights

    CVE-2025-3946 – Honeywell Experion PKS and OneWireless WDM Remote Code Execution via Input Data Manipulation

    July 10, 2025

    CVE ID : CVE-2025-3946

    Published : July 10, 2025, 9:15 p.m. | 59 minutes ago

    Description : The Honeywell Experion PKS

    and OneWireless WDM

    contains a Deployment of Wrong Handler

    vulnerability

    in the component Control Data Access (CDA). An attacker could potentially exploit this vulnerability, leading to

    Input Data Manipulation,

    which could result in incorrect handling of packets leading to remote code execution.

    Honeywell recommends updating to the most recent version of Honeywell Experion PKS:520.2 TCU9 HF1 and 530.1 TCU3 HF1 and OneWireless: 322.5 and 331.1.

    The affected Experion PKS products are C300 PCNT02, C300 PCNT05, FIM4, FIM8, UOC, CN100, HCA, C300PM, and C200E. The Experion PKS versions affected are from 520.1 through 520.2 TCU9 and from 530 through 530 TCU3. The OneWireless WDM affected versions are 322.1 through 322.4 and 330.1 through 330.3.

    Severity: 8.2 | HIGH

    Visit the link for more details, such as CVSS details, affected products, timeline, and more…

    CVE-2025-41431 – BIG-IP Traffic Management Microkernel (TMM) Denial of Service

    May 7, 2025

    Distribution Release: Alpine Linux 3.22.0

    May 30, 2025

    How Google’s AI combats new scam tactics – and how you can stay one step ahead

    May 8, 2025
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.