NEWSLETTER
DR-MPC: Predictive control of the deep residual model for social navigation of the real world
How can a robot safely navigate around people with complex movement patterns? Deep reinforcement learning (DRL) in the simulation is ...
Tag: predictive
Goal AI releases the predictive architecture model of Video Incrustation (V-JAPA): A crucial step in the advance of the intelligence of the machine
Humans have an innate capacity to process raw visual signals of the retina and develop a structured understanding of their ...
This article explores the planning of the emerging response in LLM: probe of hidden representations for the generation of predictive text
Large language models (LLM) operate predicting the following token based on input data, however, their performance suggests that they process ...
Machine Predictive Maintenance with MLOps
Machines don’t break down out of nowhere—there are always signs. The problem? Humans aren’t always great at noticing them. That’s ...
Generative AI versus Predictive AI
ai and ML are expanding at a remarkable pace, marked by the evolution of numerous specialized subdomains. Recently, two core ...
Predictive maintenance models with a focus on class balance | by Leo Anello | January 2025
From model creation to implementation: creating a technology-optimized predictive maintenance systemNow I am going to explain to you a project ...
This AI article explores how large language model additions improve adaptability in predictive modeling for changing tabular data environments
Machine learning for predictive modeling aims to accurately forecast outcomes based on input data. One of the main challenges in ...
FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models | by W Brett Kennedy | Oct, 2024
Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic combinations of numeric featuresIn this ...
KnowFormer: An innovative transformer-based model for efficient knowledge graph reasoning, addressing incompleteness and improving predictive accuracy on large-scale datasets
Knowledge graphs (KGs) are structured representations of facts consisting of entities and relationships between them. These graphs have become fundamental ...
XPER: Revealing the driving forces of predictive performance | by Sébastien Saurin | Sep, 2024
TO New method to break down your favorite performance metricsPhoto by Promise of fish in 123RFCo-authored with S. Hué, C. ...
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