Johns Hopkins Applied Physics Laboratory

Find the latest for Johns Hopkins Applied Physics Laboratory company news

Keysight Technologies (KEYS) Launches High-Speed Oscilloscopes for AI Data Centers

We recently published a list of Top 8 AI News Updates Investors Should Not Miss. In this article, we are going to take a look at where Keysight Technologies, Inc.

AI hardware 6month
Secure AI Collaboration Will Fine-Tune OpenFold3 with Proprietary Data

Data from AbbVie and Johnson & Johnson will fine-tune OpenFold3 in a confidentiality-preserving environment, powered by Apheris.

Meters closer, miles faster: A novel cryogenic in-memory computing scheme to bridge AI with quantum computing

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Polaron AI materials design tool wins inaugural Manchester Prize

Polaron is the first-ever winner of the Manchester Prize. Launched in 2023, the first year of the Manchester Prize called upon the innovators, academics, entrepreneurs and disruptors in the U.K. to enter AI solutions that would deliver public good, receiving nearly 300 entries.

Tallahassee Scientific Society presents upcoming talks on AI, MagLab

Astronauts Barry "Butch" Wilmore and Suni Williams returned home safely on March 18 after being stranded on the International Space Station (ISS) for 286 days. The duo made history in June 2024 as part of Boeing's Starliner test flight to the ISS, but what was supposed to be an eight-day mission stretched out for more

Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

AI recognizes the mass of the most energetic particles of cosmic radiation

The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithms varies depending on the application.

Cybersecurity 6month
AI speeds up titanium alloy production with higher strength for submarine manufacturing

A Johns Hopkins research team is using AI to enhance titanium alloys, improving strength and production speed for applications from deep-sea exploration to space travel.

AI hardware 6month