EurekAlert! News by Subject: Tech & Engineering - News by Subject: Tech & Engineering

Tech & Engineering

Updates every hour. Last Updated: 29-Jul-2025 17:11 ET (29-Jul-2025 21:11 GMT/UTC)

AI-based approaches for predicting buried pipeline stability in cohesive-frictional soil under inclined forces

KeAi Communications Co., Ltd.
Peer-Reviewed Publication

Researchers assessed the uplift resistance of buried pipelines in cohesive-frictional soils using finite element limit analysis (FELA) and machine learning models, including DNN, RNN, LSTM, and MARS. The embedment depth ratio was identified as the most influential factor for uplift resistance, followed by load inclination and adhesion. Among the evaluated models, the DNN model exhibited the highest prediction accuracy.

Journal: Journal of Pipeline Science and Engineering

KAIST's li-fi - achieves 100 times faster speed and enhanced security of wi-fi

The Korea Advanced Institute of Science and Technology (KAIST)
Peer-Reviewed Publication

KAIST-KRISS Develop 'On-Device Encryption Optical Transmitter' Based on Eco-Friendly Quantum Dots to Present New Methodology for High-Speed and Encrypted Communication Through Single-Device-Based Dual-Channel Optical Modulation

Journal: Advanced Materials
Funder: National Research Foundation of Korea, National Research Council of Science and Technology, Korea Institute for Advancement of Technology

Thin-film research enters new era with innovative AI approach

Paul-Drude-Institut fur Festkorperelektronik Leibniz-Institut im Forschungsverbund Berlin eV
Business Announcement

The Paul Drude Institute for Solid State Electronics (PDI) in Berlin has partnered with London-based technology company Bizmuth MBE Ltd. to advance intelligent automation in materials growth. The project is among the first in Europe to apply large language models (LLMs) and multimodal AI to the autonomous control of molecular beam epitaxy (MBE). The goal is to develop AI-driven control software capable of real-time process adjustments. Gallium Nitride (GaN) will serve as a reference system before the technology is applied to more complex materials. The initiative aims to improve efficiency, reproducibility, and scalability in semiconductor research while reducing resource consumption. A fully operational AI-controlled MBE system is expected to be demonstrated by the end of 2025.

New Danish research centre to make designed proteins with vast potential

University of Copenhagen - Faculty of Science
Grant and Award Announcement

Designed proteins are anticipated to have groundbreaking impact on a range of issues from treating disease to tackling environmental problems. With a DKK 700 million grant from the Novo Nordisk Foundation and headed by Professor Dek Woolfson, a new Center for Protein Design (CPD) at the University of Copenhagen has ambitions to match this potential. The CPD will spearhead developments in protein design and its applications through strong interdisciplinary collaborations across the university and partnerships in Denmark and internationally.

More reliable AI: New method strengthens decision-making with limited data

Higher Education Press

Researchers at Harbin Institute of Technology and Singapore Management University have developed LR-GCN, an advanced AI method that significantly improves how artificial intelligence handles incomplete data. By learning to recognize hidden patterns and connections, LR-GCN increases AI accuracy by up to 17% in predicting missing information, helping AI systems make better decisions in real-world scenarios.

Journal: Frontiers of Computer Science

New blockchain solution slashes storage costs by 42%, boosts speed 25%

Higher Education Press

Dynamic-EC, developed by researchers at Shanghai Jiao Tong University, introduces a smarter approach to blockchain storage by using real-time risk assessment to drastically lower costs and improve performance.

Journal: Frontiers of Computer Science

Smart amplifier enabler for more qubits in future quantum computers

Chalmers University of Technology
Peer-Reviewed Publication

Quantum computers can solve extraordinarily complex problems, unlocking new possibilities in fields such as drug development, encryption, AI, and logistics. Now, researchers at Chalmers University of Technology in Sweden have developed a highly efficient amplifier that activates only when reading information from qubits. Thanks to its smart design, it consumes just one-tenth of the power consumed by the best amplifiers available today. This reduces qubit decoherence and lays the foundation for more powerful quantum computers with significantly more qubits and enhanced performance.

Journal: IEEE Transactions on Microwave Theory and Techniques
Funder: Chalmers Centre for Wireless Infrastructure Technology - WiTECH, The Vinnova programme Smarter electronic systems