Microsoft launches 3 new AI models in direct shot at OpenAI and Google

Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...
GitHub

MathSnap AI — Handwritten Mathematical Expression Recognition

The encoder employs a DenseNet-B (bottleneck) architecture with three dense blocks separated by transition layers. Each bottleneck layer consists of a 1x1 convolution (expanding to 4x growth rate) ...

ORIVISION: Defining Excellence as the OEM Video Decoder Industry Leader in China for Custom Pro-AV Solutions

From the precision required in medical imaging to the millisecond-sensitive environments of live broadcasting and esports, the demand for low-latency, high-fidelity video transmission is no longer a ...
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
blockchain

Mamba-3 SSM Drops With Inference-First Design Beating Transformers at Decode

Together.ai releases Mamba-3, an open-source state space model built for inference that outperforms Mamba-2 and matches Transformer decode speeds at 16K sequences. Together.ai has released Mamba-3, a ...
IEEE

DTSF-CDNet: A Dual-Branch Encoder-Decoder Network with Differential Transformer Skip Fusion for Image Change Detection

Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...