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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Ever [...]
MiniMax teases upcoming M3 model with new sparse attention mechanism and 15.6X long-context response speed boost
Among the many Chinese AI companies and laboratories vying for market share and attention (no pun intended) on the global marketplace, MiniMax stands out for its commitment to providing frontier-level [...]
Winter Olympics: How to watch, schedule of events, and everything else you need to know about the 2026 Milano Cortina games
The Milano Cortina 2026 Winter Olympics are coming up. (Mattia Ozbot/Getty Images)<br /> <br /> <br /> Mattia Ozbot via Getty Images<br /> <br /> <br /> The 2 [...]
Olympics 2026: How to watch, schedule of events, and everything else you need to know about the Winter Games
The Milano Cortina 2026 Winter Olympics are coming up. (Mattia Ozbot/Getty Images)<br /> <br /> <br /> Mattia Ozbot via Getty Images<br /> <br /> <br /> The 2 [...]
Olympics 2026: How to watch, full schedule of events, and everything else you need to know about the Winter Games
The Milano Cortina 2026 Winter Olympics are coming up. (Mattia Ozbot/Getty Images)<br /> <br /> <br /> Mattia Ozbot via Getty Images<br /> <br /> <br /> The 2 [...]
New KV cache compaction technique cuts LLM memory 50x without accuracy loss
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working me [...]
IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models
Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique [...]
New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to [...]