"There is not much theory behind deep learning" is a quote from Douglas Heaven's new article in Nature, "Deep Trouble for Deep Learning." This isn't to say researchers studying deep neural networks ...

Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines to generate text that closely resembles human writing. These advanced models use deep ...

Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...

The Institute for Scientific Computing Research (ISCR) sponsored the talk below entitled “Deep Learning” on April 16, 2015, at the Lawrence Livermore National Laboratory. The talk was presented by ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

For IT leaders, understanding deep learning’s potential is no longer optional, it’s critical to shaping technology strategy and business growth. Constantly Updated — The guide contains the latest and ...