As David Patterson observed in 1980, “A RISC potentially gains in speed merely from a simpler design.” Patterson’s principle of simplicity underpins a new alternative to speculation: A deterministic, ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Abstract: Collaborative learning has emerged as a key paradigm in large-scale intelligent systems, enabling distributed agents to cooperatively train their models while addressing their privacy ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

The Java virtual machine provides a high-performance, universal runtime for a wealth of popular languages beyond just Java. In this article, we’ll look at the characteristic strengths and common use ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Abstract: A machine learning-based multifunctional antenna array design scheme (ML-MAADS), including a structure design module and a scattering beam steering module, is proposed for the ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

We recently spoke with Dell Technologies Capital managing director Daniel Docter and partner Elana Lian about how the firm is ...