Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Review: TensorFlow shines a light on deep learning reviews Oct 5, 2016 14 mins Analytics Artificial Intelligence Open Source ...

Next, based upon the flow chart of the map-based localization algorithm, a localizability predictor, which is composed of three different models, is designed to predict the entropy. Here a ...

Researcher Fei-Fei Li’s ImageNet project provided the feedstock for the deep learning boom that brought the world ChatGPT and other world-changing AI systems.

Flow chart of our proposed model, in which we use the proposed model SGF for capturing the spatial and temporal information simultaneously. SGF (3) is used to handle the first frame because neither ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

As a kind of deep learning algorithm for the prediction of serial data, LSTM has a good effect on the prediction of time series data and is widely used in the prediction of stock price, traffic flow ...