Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Abstract: Neuro-symbolic AI systems integrate neural perception with symbolic and probabilistic reasoning to enable dataefficient, interpretable, and robust intelligence beyond purely neural models.

Anonymous social media users can now use large-language models (LLMs) to know the likelihood of someone guessing their identity based on the information they disclose in their posts. That’s because a ...

Believe it or not, emotional reasoning is neither rare nor uncommon. It is present when we feel jealous and conclude that our partner is cheating on us, with no reason or evidence to back this ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and ...

AI reasoning models were supposed to be the industry's next leap, promising smarter systems able to tackle more complex problems and a path to superintelligence. The latest releases from the major ...

In early June, Apple researchers released a study suggesting that simulated reasoning (SR) models, such as OpenAI’s o1 and o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking, produce outputs consistent ...

Compared with its Big Tech rivals, Apple’s pace of A.I. development is cautiously slow. Justin Sullivan/Getty Images Just as the hype around artificial general intelligence (A.G.I.) reaches a fever ...