Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...

About Artificial Neural Network (ANN) based Heart Disease Predictor — A deep learning model built with Keras/TensorFlow to classify heart disease risk using patient medical data, with a Flask web ...

Aerosol effects on climate, weather, and air quality depend on characteristics of individual particles, which are tremendously diverse and change in time. Particle-resolved models are the only models ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and ...

Full rewrite of the deep neural network API supports Keras workflows on top of the three leading machine learning frameworks.

Discover the best deep learning software for training and deploying neural networks with powerful features and customizable options.