AI breakthrough could dramatically lower the cost of drug development

Three-letter DNA “words” can decide whether a yeast cell cranks out a medicine efficiently or sputters along. The words are ...
IEEE

HiTrans-SAM: Hierarchical Transformer Encoder and SAM-Augmented Inputs for Multi-Scale Remote Sensing Image Segmentation

Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...
CNX Software

$199+ M5Stack AI Pyramid Computing Box Linux AI mini PC is based on Axera AX8850 SoC

M5Stack has just launched the "AI Pyramid Computer Box" AI mini PC powered by an Axera AX8850 octa-core Cortex-A55 SoC with a ...
IEEE

Exploring Encoder–Decoder Transformer Structure for Signal Classification

Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...
Business Insider

Viewbix: Quantum Transportation Completes First Milestone in Transformer-Based Quantum Decoder Program, Securing Key IP License from Ramot at Tel Aviv University

Tel Aviv, Israel, Jan. 16, 2026 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) (“Viewbix” or the “Company”), an advanced technologies company, today ...
Hosted on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
Frontiers

CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification

Other techniques include attention gates in encoder-decoder frameworks, which selectively propagate information through the network hierarchy, improving feature localization (Taori et al., 2020). The ...
Scientific Research Publishing

Chen, J., Lu, Y., Yu, Q., et al. (2021) Transunet: Transformers Make Strong Encoders for Medical Image Segmentation.

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...