Discover the best business intelligence (BI) tools of 2026 that help enterprises transform data into actionable insights. Explore their features, pricing, and find the right solution for your ...
Abstract: Point cloud instance segmentation is crucial for 3D scene understanding in robotics. However, existing methods heavily rely on learning-based approaches that require large amounts of ...
Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...
Abstract: The authors propose a heterogeneous floating-point (FP) computing architecture to maximize energy efficiency by separately optimizing exponent processing and mantissa processing. The ...
First, run node scripts/create-common-bundle. This packages up everything that's needed to run a SvelteKit app (Vite, esbuild, SvelteKit, Svelte compiler, etc.) which can subsequently be unpacked on a ...
Abstract: The resilience of Deep Learning (DL) training and inference workloads to low-precision computations, coupled with the demand for power-and area-efficient hardware accelerators for these ...
Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
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