Deep learning is a subset of machine learning that leverages deep neural networks to identify complex patterns. This knowledge-base article outlines core concepts, architectures, training principles, applications and key limitations in a business-focused, factual manner.

AI is evolving at breakneck speed. GPT-5, Claude Opus 4.1 and multimodal video models dominate the headlines, while Europe is fine-tuning a stringent AI regulation. In this blog we explore the latest innovations, showcase concrete examples and share lessons learned from modern software development.

Artificial intelligence (AI) is an umbrella term for systems or machines that mimic human cognitive functions such as learning, reasoning, problem-solving, perception and language comprehension.

Machine learning turns data into value without having to code every decision by hand. In this knowledge-base article you'll discover how the technology works, which learning paradigms exist and which recent breakthroughs explain its rapid rise.

Machine learning is a branch of artificial intelligence that enables systems to learn from data and make predictions or decisions without explicit programming. This knowledge-base article clearly and concisely explains core concepts, key techniques, typical applications and recent developments.

Artificial intelligence (AI) is the discipline focused on designing systems that carry out tasks that would normally require human intelligence, such as reasoning, learning, planning and perception.