The Lab copertina

The Lab

The Lab

Di: Johns Hopkins APL
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A proposito di questo titolo

 The Lab is a series of narrated audio news articles from the Johns Hopkins Applied Physics Laboratory (APL) that demonstrate APL’s groundbreaking contributions to solving many of the most complex research, engineering and analytical problems facing our nation. The Lab reveals how APL tackles increasingly difficult challenges with impacts across multiple domains from deep sea to deep space to cyber to biology and beyond by combining creativity and technical expertise with a culture of risk-taking. This audio was generated using AI voice technology.Johns Hopkins APL Scienza
Episodi
  • Dragonfly Mission Begins Rotorcraft Integration, Testing Stage

    Dragonfly Mission Begins Rotorcraft Integration, Testing Stage
    Mar 16 2026

    Integration and testing — the activities involved in assembling the Dragonfly rotorcraft lander and testing it for the rigors of launch and extreme conditions of space — is officially underway in Johns Hopkins APL clean rooms and control rooms. Read the full article: https://jhuapl.link/23c
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    3 min
  • APL Pioneering Digital Calibration to Create ‘Born-Qualified’ Parts

    APL Pioneering Digital Calibration to Create ‘Born-Qualified’ Parts
    Mar 12 2026

    APL is developing a comprehensive suite of capabilities to ensure that additively manufactured parts can perform predictably in mission-critical applications — no matter where, when, or on what machines they’re manufactured. Read the full article: https://jhuapl.link/957
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    6 min
  • ‘ATLAS’ System Lifts Johns Hopkins APL Leadership in Automated Experimentation

    ‘ATLAS’ System Lifts Johns Hopkins APL Leadership in Automated Experimentation
    Mar 12 2026

    An interdisciplinary APL team created ATLAS, an artificial intelligence co-investigator that automates testing, learning, and synthesis for microcapsules, which has decreased human labor required per experiment by more than 80% and advances APL progress in microcapsule development and automated experimentation. Read the full article: https://jhuapl.link/fe4
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    5 min
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