Morning Overview on MSN

New memory design lets AI think longer and faster with no extra power

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...
IEEE

Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models

Abstract: Spatio-temporal wind speed forecasting plays a crucial role in enhancing energy conversion efficiency and optimizing resource allocation, forming a cornerstone of sustainable development.
IEEE

A Voxelized Transformer-Based Neural Network for 3D Reconstruction From Multi-Energy SEM Backscattered Electrons

Abstract: Three-dimensional (3D) data analysis, especially 3D reconstruction, is critical within integrated circuits for quality control and inspection. The traditional 3D reconstruction, like ...