Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
diginomica

PyTorch Foundation adds Helion and Safetensors - and the open AI stack gets a little harder to ignore

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...
blockchain

List of AI News about Transformer

According to God of Prompt on X, Qwen took a contrarian path by optimizing its Qwen 3.5-Flash model with linear attention and a sparse Mixture-of-Experts architecture to achieve near-frontier ...
The Hechinger Report

The quest to build a better AI tutor

University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.
IEEE

Cybersecurity and AI-generated programming code

Abstract: The article aims to present a study with analysis and systematization of the consequences for cybersecurity following the application of artificial intelligence in generating program code. A ...
InfoWorld

Spring AI tutorial: How to develop AI agents with Spring

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
IEEE

Improving Wind Speed Forecasting using a Novel hybrid model of Convolutional Neural Network and Transformer with Multi-head Attention Mechanism

Abstract: In this paper, a hybrid model combining Convolutional Neural Network (CNN) and Transformer architectures is proposed for wind speed forecasting. In this model, the CNN is employed to extract ...