ADR Awareness Centre

Opinion piece by IBM on bias and AI.

The article critically reviews the use of generative AI is research.

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go).

Advances in artificial intelligence and robotics may be leading to a new industrial revolution. This paper presents a model with the minimum necessary features to analyze the implications for inequality and output.

This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.