Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the ...

Variability is crucially important for learning new skills. Consider learning how to serve in tennis. Should you always practice serving from the exact same location on the court, aiming at exactly ...

With this information, Lively’s data science team used a machine learning k-means user clustering approach (vector quantization) to organize and delineate the optimal number of HSA personas ...

Meta-DT uses transformers and a context-aware world model to achieve superior generalization in reinforcement learning, excelling in both few-shot and zero-shot settings without expert demonstrations.

Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Two popular approaches for customizing ...