Stop drifting through AI transformation: The design principles that actually work

Will the application of AI reduce staff in pursuit of efficiency, or can we design systems that preserve human dignity, ...
Devdiscourse

New AI risk framework puts a price tag on algorithmic failures and bias

The AI-VaR framework seeks to fill this gap by offering a structured way to quantify risk in monetary terms, making it easier ...

In A World Run By Algorithmic Managers, Data Is Power

A newly issued manual foreshadows the coming difficult relations that may arise between companies and 'platform workers' – as ...
Semiconductor Engineering

The Limits Of AI’s Role In EDA Tools

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?
IEEE

Model Selection and Offloading for Digital Twin Network (DTN): Framework, Performance Metrics, and Algorithm Design

Abstract: The technique of digital twin network (DTN) has been considered as a promising technique of network management and control to accommodate disruptive applications for the sixth generation ...
BMJ Open

Harnessing digital phenotyping to advance university student mental health (Brightline) in Singapore: study protocol for a prospective observational study

Introduction Mental health issues such as depression and anxiety are highly and disproportionally prevalent among university ...
The Manila Times

Summit Luxeron: This Summit Luxeron Trading Platform Sets New Standard in AI-Driven Trading with Unmatched Security and UK User Approval

Discover Summit Luxeron - an AI-powered trading platform built on transparency, security, and smart algorithms for traders of all levels.
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...