Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
ABU DHABI, United Arab Emirates--(BUSINESS WIRE)--The Technology Innovation Institute (TII), the applied research arm of Abu Dhabi’s Advanced Technology Research Council (ATRC), has announced ...
Falcon H1R 7B Packs Advanced Reasoning into a Compact 7 Billion Parameter Model Optimized for Speed and Efficiency -- TII's Latest AI Model Outperforms Larger Rivals from Microsoft, Alibaba, and ...
The MIPS S8200 is a RISC-V neural processing unit designed to run transformer-based and agentic AI models directly on ...
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, ...
In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...
DLSS 4.5 levels up image quality with NVIDIA's most sophisticated AI model to date, while also expanding Multi Frame ...
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