When benchmarking 2D depthwise convolutions on an NVIDIA H200, I observed that TensorFlow’s implementation is noticeably slower and consumes more power compared to PyTorch. Using a kernel-level ...

🐛 Describe the bug When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more ...

A new technical paper titled “Exploring optimal TMDC multi-channel GAA-FET architectures at sub-1nm nodes” was published by researchers at Sungkyunkwan University and Alsemy Inc. “This paper explores ...

Bridging the 2D and 3D gap: Tackling fragmented communication in BIM-driven AEC+O projects Building Information Modelling (BIM) has transformed the AEC+O industry, but its success depends on ...

TransUNet (Chen et al., 2021) modified the ViT architecture to U-Net for 2D medical image segmentation. TransUNet is a modified version of ViT (vision transformer) architecture specifically designed ...

While 2D always has a place in architecture, 3D is essential for advancing the industry towards a more integrated, immersive, and collaborative future.

A new technical paper titled “Energy-/Carbon-Aware Evaluation and Optimization of 3D IC Architecture with Digital Compute-in-Memory Designs” was published by researchers at Cornell University. “In ...