This psychology-based problem-solving quiz reveals whether you solve problems through logical analysis, gut instinct, ...

Abstract: The importance of visual abstract reasoning problems in the field of image processing cannot be overstated. Both Bongard-Logo problems and Raven’s progressive matrices (RPM) belong to the ...

It’s no secret that students worldwide use AI chatbots to do their homework and avoid learning things. On the flip side, students can also use AI as a tool to beef up their knowledge and plan for the ...

There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...

A small-scale artificial-intelligence model that learns from only a limited pool of data is exciting researchers for its potential to boost reasoning abilities. The model, known as Tiny Recursive ...

Researchers behind a new study say that the methods used to evaluate AI systems’ capabilities routinely oversell AI performance and lack scientific rigor. The study, led by researchers at the Oxford ...

MSRGNN is a unified model for solving various Abstract Visual Reasoning (AVR) tasks, consisting of a multi-scale panel-level feature extractor and a relational GNN reasoning module. MSRGNN/ ├── ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

The new test proved the capability of a new propellant that will enhance the rocket's performance, making a sample return mission from Mars increasingly viable. Share on Facebook (opens in a new ...

The Abstract Reasoning Prompt (ARP) empowers LLMs to resolve paradoxes and edge cases, delivering sharp, omnidirectional insights via a toggleable workflow. Compatible with modern LLMs, ARP implements ...