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Google DeepMind Launches D4RT AI Model for Real-Time 4D Reconstruction

Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than ...
eLife

Predicting human decision-making across task conditions via individuality transfer

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

China's Z.ai claims it trained a model using only Huawei hardware

Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...
Digit on MSN

GLM-image explained: Huawei-powered AI that seriously challenges Nvidia, here’s how

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, you need Nvidia GPUs. Specifically, thousands of H100s. That axiom just got ...
IEEE

DT-Net: Point Cloud Completion Network With Neighboring Adaptive Denoiser and Splitting-Based Upsampling Transformer

Abstract: Point cloud completion, which involves inferring missing regions of 3D objects from partial observations, remains a challenging problem in 3D vision and robotics. Existing learning-based ...
IEEE

Lightweight Adaptive Deep Learning for Efficient Real-Time Speech Enhancement on Edge Devices

Abstract: Deep learning has significantly advanced speech enhancement (SE) by exploiting hierarchical representations to model complex speech patterns. However, deploying these models on ...