In the fast-paced world of online transactions, fraud prevention is a critical challenge for businesses. As fraud tactics ...

Building on this, we have developed an ANFIS (Adaptive Neuro-fuzzy Inference System) structure utilizing global Bayesian optimization and grid ... capabilities of smartphone platforms, we can ...

Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes ...

By adopting these protocols today, organizations can help shape a more interoperable, efficient and powerful AI ecosystem for ...

A well-designed AI factory consists of several integrated layers that work together to streamline AI development and ...

Aligning AIs with people’s goals and values is tricky. A new technique quantifies how far off human and machine are from each other.

Background Countries with resource-poor health systems have struggled to improve access to and the quality of caesarean section (C-section; CS) for women seeking care in public health facilities.

This paper discusses the radiation response of a power supply system by combining the power converters radiation effects and the dynamic Bayesian network (DBN) model. The total ionizing dose (TID) ...

Founder Vaideeswaran Sethuraman highlights the platform's ability to integrate with existing systems, addressing a critical ...

Welcome to "Bayesian Modelling in Python" - a tutorial for those interested in learning how to apply bayesian modelling techniques in python (PYMC3). This tutorial doesn't aim to be a bayesian ...

Originally focused on incident response, we have expanded into cybersecurity areas such as network situational awareness, malicious code analysis, secure coding, resilience management, insider threats ...