The article discusses the importance of big data in the development of AI algorithms and the potential for bias in these systems. It also…
Browsing: Fairness
Nvidia is seeking to patent a system for “fairness-based” neural network training using both real and synthetic data to create more balanced and accurate…
Billion Dollar Jackpot (BDJ), Aptos, and VeChain are three emerging altcoins that offer unique technological solutions and have market valuations indicating significant growth potential.…
This article discusses the increasing use of artificial intelligence (AI) and machine learning (ML) in various fields, including scientific research and society as a…
The German National Academy of Sciences Leopoldina has awarded the Leopoldina Prize for Young Scientists to Helmholtz Munich AI scientist Niki Kilbertus for his…
This article discusses the potential for using generative models to improve fairness and generalization in A.I. systems. The authors also address challenges such as…
The Time series Forecasting Benchmark (TFB) is a comprehensive and diverse dataset collection designed to facilitate the empirical evaluation and comparison of Time Series…
The Applied Machine Learning Days (AMLD) is a global platform that brings together experts and participants from over 40 countries to discuss fairness and…
Recent revelations in the AI landscape have highlighted the need for trustworthy AI systems. IBM has established five principles of trustworthy AI, including explainability…
This article features five women working at SAP who are shaping AI in various roles and locations. They share their motivations and tips for…