Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The distributed cloud networking market is forecast to hit $21 billion by 2029 as enterprises abandon fragmented WAN architectures. The tried and true enterprise WAN market is undergoing a shift and ...

Nov 3 (Reuters) - Verizon (VZ.N), opens new tab announced a deal with Amazon Web Services on Monday to build high-capacity fiber routes connecting AWS data centers, aiming to strengthen infrastructure ...

Detecting anomalies and threats in computer networks has been a center of cyber-security research for quite some time [1] and gaining popularity as new attack and defense techniques were made possible ...

Adopting AI requires a thorough, organized, prepared approach for it to best deliver on its plethora of lofty promises. Through the power of knowledge graphs, enterprises can fuel AI strategies with ...

Palo Alto Networks Inc. kicked off the annual Black Hat USA security conference in Las Vegas this week with today’s announcement of its Cortex Cloud Application Security Posture Management solution.

Proceedings of The Eighth Annual Conference on Machine Learning and Systems Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...