Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.

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 ...

Deep learning models often need hardware accelerators such as GPUs, TPUs, or FPGAs for training, and also for deployment at scale; without them, the models would take months to train.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

While not all deep learning models require the same amount of energy and resources that generative AI models do, they still need more than the average AI tool to perform their complex tasks ...

Fueled by enterprises seeking greater insight from their analytics, deep learning is now seeing widespread adoption. While this artificial intelligence (AI) discipline was first conceived in the late ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

Using a deep-learning model, the scientists determined how, on any single day, global warming is impacting, and significantly altering, rainfall patterns around the world.