On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Update 2025.11.27: Major refactoring into modular architecture (Module A/B/C/D) with unified interface and comprehensive benchmark suite. Update 2025.06.25: Added ...
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10 new Fable details we're most hyped for
We know a lot more about the upcoming Fable reboot now than we did a few days ago, and some of the newest revelations are ...
Abstract: Factor graphs are fundamental to large-scale estimation in robotics and computer vision, but their underlying normal equations incur significant computational costs. To overcome this, we ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers at Sandia National Lab. “The finite element method (FEM) is one of the most ...
Sparsity constraints on the control inputs of a linear dynamical system naturally arise in several practical applications such as networked control, computer vision, seismic signal processing, and ...
Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
A line of Nippon Pulse’s linear shaft motors that features analog Hall effect sensors to enable closed-loop positioning without a linear encoder. Linear motors can be described as uncurled 3-phase ...
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