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 ...

Researchers have now developed a technique that advances the ability of these tools, such as ChatGPT, to make compositional generalizations. This technique, Meta-learning for Compositionality ...

Dyer is a computational neuroscientist whose research has blurred the line between neuroscience and machine learning, and her lab has made advances in neural recording and gathering data. Muthukumar ...

Because transfer learning models work by transferring knowledge from one task to another, they are very helpful in improving generalization in the new task, even if only limited data were available.

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 ...

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 ...

Advancements in machine learning are revolutionizing mass spectrometry, enhancing small-molecule identification through ...