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

Brain-to-Text '25: Neural Speech Decoding

Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Hosted on MSN

Unicron explained: The Transformers’ most terrifying villain! #transformers

James Gracey, US college student missing in Spain, is found dead, police say There's a toxic new dating trend called 'ghostlighting.' It's even worse than ghosting. Watch: CENTCOM releases ...
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 ...
IEEE

Leveraging Transformer Networks for Enhanced Detection of Hardware Trojans via Power Side-Channel Analysis

Abstract: The proliferation of Hardware Trojans (HTs) poses a critical threat to the reliability and security of integrated circuits (ICs), particularly in safety and mission-critical domains.
GitHub

maskformer_transformer_decoder.py

Registry for transformer module in MaskFormer. def build_transformer_decoder(cfg, in_channels, mask_classification=True): Build a instance embedding branch from `cfg.MODEL.INS_EMBED_HEAD.NAME`.