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 ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Causal learning and reasoning are fundamental cognitive skills that emerge early in childhood. These processes enable young learners to decipher the relationships between events, actions and outcomes, ...

The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, ...

If you go to ChatGPT.com, choose the o4-mini model from the drop-down menu and enter a prompt, you’ll see a message you’ve probably never seen before. “Thinking,” the chatbot responds as several ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

To build truly intelligent machines, teach them cause and effect. The formal modeling and logic to support seemingly fundamental causal reasoning has been lacking in data science and AI, a need Pearl ...

Turns out, the same goes for machines. The intelligence required for facial recognition demands a very different learning base than the reasoning applied to security tasks such as access control. So, ...