In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

How Do Non-Human Identities Revolutionize Cloud Security? Maintaining robust cybersecurity measures is crucial. One area ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

GUANGZHOU CITY, GUANGDONG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- Variable Frequency Drives (VFDs) ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

CHENGDU CITY, SICHUAN PROVINCE, CHINA, February 6, 2026 /EINPresswire.com/ -- The global welding robot market has ...

Explore lattice-based zero trust identity verification for AI agents. Secure MCP deployments with quantum-resistant encryption and 4D access control.

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...