InfoQ

Java 26 Delivers Language Innovation, Library Improvements, Performance and Security

Oracle has released version 26 of the Java programming language and virtual machine. As the first non-LTS release since JDK ...

Java 26 with JVM optimizations, HTTP/3, and finally no Applet API

The current OpenJDK 26 is strategically important and not only brings exciting innovations but also eliminates legacy issues like the outdated Applet API.
IEEE

Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound Imaging

Abstract: Sparse arrays offer a promising solution for reducing the data volume required to reconstruct ultrasound images, making them well-suited for portable and wireless devices. However, the ...

AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even ...
IEEE

Machine Learning-Assisted Synthesis of Heterogeneous Arrays via Active Geometric Design

Abstract: Mutual coupling often leads to discrepancies between intended and synthesized array patterns due to the distortion of active element patterns (AEPs). In array synthesis, existing machine ...
Business Wire

AST SpaceMobile Successfully Completes Unfolding of BlueBird 6, the Largest Commercial Communications Array Antenna Ever Deployed in Low Earth Orbit

MIDLAND, Texas--(BUSINESS WIRE)--AST SpaceMobile, Inc. (“AST SpaceMobile”) (NASDAQ: ASTS), the company building the first and only space-based cellular broadband network accessible directly by ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...