tensor

Transformers have modified the way in which artificial intelligence works, especially in understanding language and learning from data. On the core of those models are tensors (a generalized sort of mathematical matrices that help...

As transformer models grow in size and complexity, they face significant challenges by way of computational efficiency and memory usage, particularly when coping with long sequences. Flash Attention is a optimization technique that guarantees...

How quantum-inspired algorithms solve probably the most complex PDE and machine learning problems to attain real business advantage now.By Michel Kurek, CEO, Multiverse Computing, FranceThe controversy about quantum hype rages on, with some within...