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

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 ...

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

Nvidia DLSS 4.5 arrives with a new transformer model promising better image quality, but not without performance trade-offs. We test DLSS 4.5 vs DLSS 4 to see ...

At a meeting in Beijing, the architects of China’s AI ecosystem outlined a new path to AI dominance – one that avoids U.S.

“When the DLSS model fails it looks like ghosting or flickering or blurriness,” NVIDIA’s Brian Catanzaro says. DLSS 4.5 is built around that exact failure-state treating it less like an occasional ...

I was slightly nervous that Nvidia was bringing AI, data center and robotics news to CES 2026, so consider this a huge sigh of relief to see Team Green bring DLSS 4.5 — targeting 4K path-traced gaming ...

New research shows AI language models mirror how the human brain builds meaning over time while listening to natural speech.

Yeah I know, NVIDIA is always about showcasing AI at big tech shows, and CES 2026 ain't out of the question. But at least the ...