Logical Intelligence Achieves 76 Percent on Putnam Benchmark, Highlighting Shift Beyond Large Language Models to Language-free, Mathematically Grounded Models

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.

Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models ...
Semiconductor Engineering

Ensuring Accuracy in LLM-Generated Hardware Logic Design Automation (IBM Research)

A new technical paper “Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware ...
Nature

DeepSeek’s self-correcting AI model aces tough maths proofs

The mathematical reasoning model performed as well as humans at prestigious international mathematics competitions.
Nature

The Chinese finance whizz whose DeepSeek AI model stunned the world

In January this year, an announcement from China rocked the world of artificial intelligence. The firm DeepSeek released its ...