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Memory for the machine: How vector databases power the next generation of AI assistants
The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...
SciELO12d
Property prediction of AZ80 magnesium alloy: an extreme learning machine model optimized by a new improved sparrow search algorithm
In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...
Machine learning algorithm brings long-read sequencing to the clinic
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...
Model Context Protocol: A promising AI integration layer, but not a standard (yet)
Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.
The American Journal of Managed Care4d
Cost vs Accuracy: Choosing the Best ML Model for Vascular Calcification in CKD
While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...
Tech Xplore on MSN13d
Graph neural networks show promise for detecting money laundering and collusion in transaction webs
A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...
AZoM on MSN13d
OptiMate: Accelerating Sustainable Material Discovery with Machine Learning
A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...
Wastewater Digest13d
Combined Sewer Overflow (CSO) monitoring: Opportunities for artificial intelligence and machine learning
The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...