Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

In this special guest feature, Navin Ganeshan, Chief Product Officer at Gemini Data, discusses the often misunderstand and important distinction between machine learning and machine reasoning — which ...

Meta Platforms (NASDAQ:META) said on Thursday that it is launching an AI model called Meta Motivo, which can control the ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Recently, several technology companies have briefed me and professed to use a new type of artificial intelligence (AI) technology: machine reasoning. If you haven’t heard the term yet, just wait.

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...