Perplexity introduced Search as Code as a reference architecture for AI-written Python search workflows, following its 2025 real-time Search API. The new approach shifts the pitch from repeatedly ...

Abstract: The limitations of existing approaches for modeling first-order logic (FOL) queries over knowledge graphs (KGs) have motivated the development of probabilistic reasoning methods. While box ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

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 ...