Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

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 ...

It requires a complete shift in the mental model for delivering business applications, from viewing it as software that humans are heavily involved in operating to tools that either act for us ...

Orlen’s work with Microsoft covers software licences, cloud services, workshops, and training. It supports Orlen’s $105bn ...

Access control was electrified in 1952 when Frank Best introduced the first electronic access control system, which allowed ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

In 2019 NAB developed its Data Ethics Principles and Data Ethics Framework, and in 2023 it engaged with the Australian Human ...

Rajyatantr is a political campaign management company in India with successful collaborations for campaigns across Maharashtra, Karnataka, Telangana, and Andhra Pradesh.

A team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national ...

What might connect a Romani non-profit organization from the Czech Republic with tech giants like Google or TikTok? In an ...

Many supply chain teams are exploring predictive analytics to improve the accuracy of demand planning. These models apply statistical and machine learning techniques to identify patterns in ...