Researchers use mini plasma explosions to encode the equivalent of two million books into a coaster-sized device. The method ...

Data minimization is often perceived as a constraint on innovation. In reality, it is the ultimate enabler of resilience. It ...

Abstract: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.

Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive ...

Abstract: This research zeroes in on the processing of RFID data and puts forward a deep learning-based approach to achieve classification and anomaly detection. The core algorithm is the ...