Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
EurekAlert!

Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
TMCnet

Corti Unlocks "Surgical" AI Improvement, Outperforming Big Tech in Interpretability Benchmark

COPENHAGEN, Denmark and NEW YORK, Dec. 18, 2025 /PRNewswire/ -- Corti, a healthcare AI infrastructure company, today announced a major advance in AI transparency, achieving the #1 position on the ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
Diginomica

AI explainability and interpretability - we have a long way to go

AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...
Fast Company

Anthropic takes a look into the ‘black box’ of AI models

Today’s AI models are so big and so complex (they’re fashioned after the human brain) that even the PhDs who design them know relatively little about how they actually “think.” Until pretty recently, ...