Abstract: In industrial production, the quality of photovoltaic determines the power generation efficiency and service life. Therefore, only by improving the quality inspection automation capability ...

Oil for transformers plays a critical role as a dielectric fluid, ensuring the safe and efficient operation of electrical transformers. As an insulating medium, it not only prevents electrical ...

Wheat spike detection has important research significance for production estimation and crop field management. With the development of deep learning-based algorithms, researchers tend to solve the ...

Mitesh Agrawal is leaving Lambda Labs to head a little known AI hardware startup trying to take on Nvidia.

Abstract: Many studies have aimed to improve Transformer model efficiency using low-rank-based methods that compress sequence length with predetermined or learned compression matrices. However, these ...

From stepping up voltage for long-distance power transmission to stepping it down for safe residential use, transformers ensure energy is delivered efficiently and reliably. Understanding their ...

As seen in MuZero and EfficientZero, decision-time planning is effective but computationally expensive for large WMs like transformers. Background planning, originating from Dyna-Q learning, has been ...

Optimized Computational Efficiency: By addressing the quadratic scaling costs inherent in Transformers, Titans significantly reduce resource demands. This optimization enables the architecture to ...