This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

This paper presents a spatio-temporal trajectory clustering method for vehicle trajectories in transportation networks to identify heterogeneous trip patterns and explore underlying network assignment ...

Discover more about intelligent automation versus “flapping”: moving towards autonomous networks. Enter now and don't miss ...

VeloCloud’s VeloBrain and VeloRAIN systems use AI in different ways. These include AI/ML algorithms that monitor SD-WAN ...

The CIA’s disguises and forgeries back then were like works of fine art. But the agency in its first few decades was also a ...

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

AI introduces a dynamic, context-aware, and data-driven approach to capital allocation. Using machine learning algorithms, ...

So, mentions are the fingerprints of trust. AI models are trained on massive swaths of content, and when your brand ...

Train delay evolutions exhibit different patterns (i.e., increasing delays, decreasing delays, or unchanged delays), because of the effects of stochastic disturbances and pre-scheduled ...

Nguyen Ngoc Lan Anh, chief technology and operations officer at Standard Chartered Bank Vietnam, shares key insights on the ...

Leading South African retailers are harnessing next-generation predictive analytics to transform price optimisation, demand ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...