Chain-of-thought AI is a new approach to making AI systems more transparent and interpretable by revealing the intermediate steps in their decision-making process. This…
Browsing: Interpretable
Researchers at Carnegie Mellon University propose guidelines for using interpretable machine learning in computational biology, highlighting the importance of understanding model behavior. The article…
H2O.ai has appointed Agus Sudjianto as Senior Vice President, Risk and Technology for Enterprise. Agus brings over two decades of experience in the financial…
A team of researchers has developed an interpretable deep learning architecture, xECGArch, for accurate and trustworthy ECG analysis. This approach utilizes deep Taylor decomposition…
Liquid neural networks (LNNs) are time-continuous recurrent neural networks with a dynamic architecture of neurons that are able to process time-series data while making…
AI is increasingly being used to make decisions that affect human lives, but the problem is that AI systems are often black boxes, unable…
AI is increasingly being used to make decisions that affect human lives, but the problem is that AI systems are often black boxes, unable…
AI is increasingly being used to make decisions that affect human lives, but the problem is that AI systems are often black boxes, unable…