Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...

Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Analysts also believe this is how companies will gain value from AI going forward. Gartner predicts that by next year, more than 50% of the AI models enterprises use will be domain- or ...

What if you could run a colossal 600 billion parameter AI model on your personal computer, even with limited VRAM? It might sound impossible, but thanks to the innovative framework K-Transformers, ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

AI optimizes injection molding beyond human understanding, creating new challenges for process control and failure recovery.

We've come to the point where you can comfortably run a local AI model on your smartphone. Here's what that looks like with the latest Qwen 3.5.

Singapore, Dec. 08, 2025 (GLOBE NEWSWIRE) -- For years, progress in AI was driven by one principle: bigger is better. But the era of simply scaling up compute may be ending. As former OpenAI ...