SEALSQ Presented at Tech&Fest How the Quantum Shield QS7001 Can be Integrated as a Hardware Root of Trust to Meet Cryptographic Transition New Legal Requirements Like CNSA 2.0

A key requirement is the use of ML-DSA-87 (Dilithium 5) for firmware and software signing, ensuring that secure boot and system integrity remain protected in a post-quantum world. It also mandates ...

AI Model Advancements Do Not Alter the Quantum Threat Model — They Reinforce the Need for SEALSQ Type of Post-Quantum Secure Infrastructure

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced ...
Security Boulevard

Post‑Quantum Authentication: How Consumer Apps Can Stay Secure in a Quantum‑Ready World?

Post-quantum authentication helps consumer apps stay secure against quantum computing threats with future-proof encryption and identity protection.
eLife

Intravital calcium imaging of meningeal macrophages reveals niche-specific dynamics and aberrant responses to brain hyperexcitability

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...
IEEE

Nonlinear Prestack Inversion Method for Fluid Factor Using the Reflectivity Method and PID-Based Search Algorithm

Abstract: Fluid factors play an important role in reservoir fluid identification. Current fluid factor inversion methods rely on the exact Zoeppritz equations and their approximations, which neglect ...
Nature

Identification of DNA binding proteins using the NoShift Transcription Factor Assay Kit

The NoShift Transcription Factor Assay Kit provides a rapid and sensitive method for the identification of proteins that bind to DNA sequences. The developer of the assay, EMD Biosciences, Inc. (EMD), ...
IEEE

Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...