Back to basics

A turning point came in 2019, when Kevin Hall, then a senior investigator with the National Institute of Diabetes and ...
IEEE

A 28nm 16.9-300TOPS/W Computing-in-Memory Processor Supporting Floating-Point NN Inference/Training with Intensive-CIM Sparse-Digital Architecture

Abstract: Computing-in-memory (CIM) has shown high energy efficiency on low-precision integer multiply-accumulate (MAC) [1–3]. However, implementing floating-point (FP) operations using CIM has not ...

Inside Man City's WSL title-winning season

City have lowered the average age of the squad to 24 - the youngest in the WSL this season - and last summer's signings Jade ...
GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...
Morning Overview on MSN

Hackers poisoned the PyTorch Lightning AI package and it started stealing credentials the moment you imported it

A single line of Python code was all it took. Developers who ran import lightning after installing versions 2.6.2 or 2.6.3 of ...