Jan. 14, 2021 — Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more ...

Many believe that XAI promotes model transparency and trust, making people more comfortable with the risk of improper learning and incorrect predictions that can occur with machine learning models.

Modern machine-learning models, such as neural networks, are frequently referred to as "black boxes" because they are so intricate that even the researchers who create them do not truly comprehend ...

Deep learning neural networks, exemplified by models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs), have achieved ...

New deep learning models: Fewer neurons, more intelligence Date: October 13, 2020 Source: Institute of Science and Technology Austria Summary: An international research team has developed a new ...

Under LQA’s hood, the suite of models calculates an individual liquidity profile tailored to an individual security, learning how to weigh as many as 150 features that could contribute to an ...

OpenAI conducts an enormous amount of research in AI subfields from computer vision to natural language processing (NLP). The San Francisco-based firm — which was cofounded by CTO Greg Brockman ...

Wall Street firms are putting more resources towards complex forms of machine learning, known as deep learning, a recent survey by Refinitiv found. These techniques, while powerful, can also be ...