A 27 M-parameter, brain-inspired architecture cracks ARC-AGI, Sudoku-Extreme, and Maze-Hard with just 1000 training examples and without pre-training SINGAPORE - July 21, 2025 (NEWMEDIAWIRE) - AGI ...

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 ...

A 27 M-parameter, brain-inspired architecture cracks ARC-AGI, Sudoku-Extreme, and Maze-Hard with just 1000 training examples and without pre-training SINGAPORE, July 21, 2025 - (ACN Newswire) - AGI ...

Current LLMs depend heavily on Chain-of-Thought prompting, an approach that often suffers from brittle task decomposition, immense training data demands and high latency. Inspired by the hierarchical ...

What if the future of artificial intelligence wasn’t about building ever-larger models but instead about doing more with less? In a stunning upset, the 27-million-parameter Hierarchical Reasoning ...

Scientists have developed a new type of artificial intelligence (AI) model that can reason differently from most large language models (LLMs) like ChatGPT, resulting in much better performance in key ...

Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and resources, threatening to change machine intelligence forever, finds Satyen K.

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...