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 ...
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 ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Meta patented AI that can mimic a user’s social activity after death; it can post, like, and comment, raising consent ...
GUANGZHOU CITY, GUANGDONG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- Variable Frequency Drives (VFDs) ...
In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...
Artificial Intelligence, Augmented reality, Blockchain, Customer Experience, Data-Driven Decisions, Future of retail, retail ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results