XDA Developers on MSN

I tried a new 8B local LLM, and its design might be the biggest shift since DeepSeek R1

Zaya1-8B is a huge shift in LLMs, and the results are impressive.
EurekAlert!

Cracking the code of 2D materials: Why clean transfers matter as much as testing

(a) The 2D materials were transferred to the in situ mechanical testing device using wet transfer and dry transfer techniques. (b) AFM nanoindentation mechanical testing of 2D material, the 2D ...
ArchDaily

Flat Designs Won’t Cut It: Why 2D Needs a Third Dimension in Today’s Collaborative Architecture

From inked drawings on tracing paper, to highly detailed digital 3D models, the role of the architect has evolved, and next-gen design software is empowering today's architects with valuable data and ...
Frontiers

PNNGS, a multi-convolutional parallel neural network for genomic selection

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we ...
IEEE

PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-Based 3D Object Detection

Abstract: Pillar-based 3D object detectors mainly employ randomly initialized 2D convolution neural network (ConvNet) for feature extraction and fail to enjoy the benefits from the backbone scaling ...
IEEE

A Reconfigurable Depth-Wise Convolution Module for Heterogeneously Quantized DNNs

Abstract: In Deep Neural Networks (DNN), the depth-wise separable convolution has often replaced the standard 2D convolution having much fewer parameters and operations. Another common technique to ...
GitHub

2d-convolution

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression ...