The Power of Simplicity in AI: A New Approach to Neural Networks
Artificial Intelligence has long relied on complex systems to function. Most AI models use 16- or 32-bit floating point numbers to store the numerical weights that power their neural networks. This level of precision requires a lot of memory and processing power. However, a new approach is changing