Google's second generation of its AI mathematics system combines a language model with a symbolic engine to solve complex geometry problems better than International Mathematical Olympiad (IMO) gold ...

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...

AI assistants and LLMs can have different names. For instance, GPT is OpenAI’s large language model and ChatGPT is the AI ...

AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...

Neural networks are built upon several key components that work together to process data and make predictions: A neural network's basic computational units (also called nodes). Each neuron receives ...

Character AI can be used to have fun conversations with a host of different personalities – the AI is so good, it’s like having a chat with a human. You’re able to gain a fresh perspective on various ...

The second new model that Microsoft released today, Phi-4-multimodal, is an upgraded version of Phi-4-mini with 5.6 billion ...

but it is interesting that the same kind of model can handle both birdsong and human language. Perhaps the underlying neural mechanism is similar too. Many philosophers describe human language ...

Welcome to Neural. AI moves fast ... for users is knowing which type of model to start with: a large language GPT model or a reasoning o-series model. The challenge for OpenAI is determining ...