A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Edge computing, machine learning algorithms and centralized management platforms work in tandem to ensure industrial systems keep running.

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

The Edge AI Software Market is projected to be valued at USD 1.95 billion in 2024 and reach USD 8.91 billion by 2030, growing at a CAGR of 28.8% according ...

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.

Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the application ...

Figure 1. HammingMesh’s bandwidth-cost-flexibility tradeoff. In summary, we show how deep learning communication can be modeled as sets of orthogonal and parallel Hamiltonian cycles to simplify ...

In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface (IS) is ...