Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.

After years of dominance by the form of AI known as the transformer, the hunt is on for new architectures. Transformers aren’t especially efficient at processing and analyzing vast amounts of data, at ...

What if you could have conventional large language model output with 10 times to 20 times less energy consumption? And what if you could put a powerful LLM right on your phone? It turns out there are ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response lengths grow. At a batch size of 64, the model processes approximately 1,500 ...

TL;DR: NVIDIA's DLSS 4 introduces a Transformer-based Super Resolution AI, delivering sharper, faster upscaling with reduced latency on GeForce RTX 50 Series GPUs. Exiting Beta, DLSS 4 enhances image ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

NVIDIA has started distributing DLSS 4.5 through an update to the NVIDIA App, making the latest revision of its DLSS ...