Here’s How the AI Crash Happens

The AI boom is visible from orbit. Satellite photos of New Carlisle, Indiana, show greenish splotches of farmland transformed ...
IEEE

TRUNC: A Transfer Learning Unsupervised Network for Data Clustering

Abstract: There is a demand for effective clustering methods, especially given the increasing complexity of data scenarios in modern applications. Motivated by the limitations of traditional ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Cryptopolitan

Amazon powers Anthropic’s Claude model with new Rainier AI infrastructure

Amazon has launched its AI compute cluster project Rainier, which will use more than one million Trainium2 chips to power Anthropic’s Claude model by the end of 2025.
IEEE

A Combined Distance Metric Approach with Weight Adjustment For Improving Mixed Data Clustering Quality

Abstract: Cluster analysis can be perceived as a problem of grouping data points according to their mutual similarity. Clustering quality largely depends on choosing an effective distance metric, ...
Semiconductor Engineering

Unlocking Clarity: Keyphrase Trees Bring Structure To AI Text Analysis

A new approach enhances AI understanding through hierarchical clustering techniques with LLM-driven keyphrase extraction.