"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 ...

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 ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

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 ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

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 ...

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 ...