A new AI-based method can accurately recover digital data from DNA strands nearly 90 times faster than older techniques, ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

As digital interactions dominate modern communication, the rapid evolution of cyber threats demands robust security measures ...

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

In this paper, we developed a distributed queue model for multi-task DNN inference, addressing issues of resource ... To tackle this problem, we devised a Lyapunov-guided Proximal Policy Optimization ...

This article examines how today's cyber attackers attempt to crack hashed passwords, explores common hashing algorithms and their limitations, and discusses measures you can take to protect your ...