Critical Contributions to Critical Challenges • February 13, 2024
|
|
|
| Using Artificial Intelligence, Better Pollution Predictions Are in the Air
As the global climate warms, wildfires are increasing in severity and frequency, and consequently releasing more smoke-borne contaminants into the air. To better predict how and where those pollutants are traveling, Johns Hopkins APL researchers are using artificial intelligence to simulate atmospheric models and improve the resolution and speed of air quality forecasts.
|
|
|
| VIDEO: Artificial Intelligence Used to Discover Novel Superconductor
A multidisciplinary team at APL has discovered a novel superconductor using artificial intelligence (AI). The key to this breakthrough came through combining materials science expertise and real data into a predictive AI model, which vastly accelerates the timeline of targeted materials discovery.
|
|
|
APL Research and Development
Vol. 37, No. 2 (2024)
This issue includes articles on the Human–Machine Interfaces for Human–Machine Teaming (H4H) architecture and a threat scenario characterization and enumeration approach to inform mitigation strategy decisions and facilitate cybersecurity and resilience engineering. The remainder of the issue commemorates APL’s 80th anniversary, with articles on APL’s adoption of a systems approach to strategy, reflections on a 1983 report forecasting what APL would look like in the 21st century, predictions on the technology trends APL might encounter or influence by 2042, and summaries of APL’s newest defining innovations and 2022 Achievement Awards.
|
|
|
Dutta Named Director of Johns Hopkins’ Doctor of Engineering Program
Johns Hopkins University recently named Ashutosh Dutta, chief 5G strategist at APL and an IEEE fellow, director of the Whiting School’s Doctor of Engineering program. Established in 2018, the Doctor of Engineering program provides professional engineers with advanced technical expertise and research experience by emphasizing creative problem-solving and the innovative application of technical knowledge.
|
| |
|
© 2024 The Johns Hopkins University Applied Physics Laboratory LLC. All rights reserved.
11100 Johns Hopkins Road, Laurel, Maryland 20723 • (240) 228-5000
|
|
|
Manage your preferences | Opt Out using TrueRemove™
Got this as a forward? Sign up to receive our future emails.
View this email online.
|
11100 Johns Hopkins Road | Laurel, MD 20723 US
|
|
|
This email was sent to .
To continue receiving our emails, add us to your address book.
|
|
|
|