Deep Learning Articles

Juras Juršėnas

Updated on July 08, 2025

AI models are growing so complex, so quickly that we may have to recalibrate how we think about transparency.

Ellen Glover

Updated on June 30, 2025

Artificial intelligence often makes decisions we don’t understand.

Jeff Rumage

Updated on June 23, 2025

NPUs are the hot new AI chip, boasting enhanced deep learning capabilities while consuming a fraction of the energy — and all without data ever leaving the device.

Dan Schwarz

Updated on June 12, 2025

A thorough analysis of available deep research methods reveals that, for now, humans remain an essential part of any effective program.

Artem Oppermann

Updated on June 10, 2025

Artificial intelligence (AI) enables machines to perform tasks like humans. Machine learning, a subset of AI, lets machines learn from data without explicit programming. Deep learning, a subset of ML, uses multilayered neural networks to process tasks.

Artem Oppermann

Updated on June 02, 2025

Few-shot learning is a machine learning framework where an AI model is given a small amount of labeled training data to learn from. Here’s how few-shot learning works and why it’s important.

Artem Oppermann

Updated on May 23, 2025

In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.

Dorothea Reher

Updated on April 02, 2025

A transformer encoder is a deep learning architecture that can process all tokens in parallel. Here’s how to build and train one using PyTorch.

Ellen Glover

Updated on April 02, 2025

Image recognition gives machines the power to “see” and understand visual data. Here’s how image recognition works, how it’s used, how it’s limited and how it compares to computer vision and object detection.

Artem Oppermann

Updated on April 01, 2025

Deep learning uses multi-layered structures of algorithms called neural networks to draw similar conclusions as humans would. Here’s how it works.