Opinion
CIOOpinion

AI isn’t failing, people are failing with AI

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
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 ...
GitHub

Transformer From Scratch (PyTorch)

The implementation is intentionally explicit and educational, avoiding high-level abstractions where possible. . ├── config.py # Central configuration file defining model hyperparameters, training ...
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 ...
IEEE

EDSOD: An Encoder-Decoder, Diffusion-model, and Swin-Transformer-based Small Object Detector

Abstract: Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing ...
Frontiers

Modeling ring current proton distribution using MLP, CNN, LSTM, and transformer networks

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...
blockchain

NVIDIA Riva TTS Enhances Multilingual Speech and Voice Cloning

NVIDIA introduces Riva TTS models enhancing multilingual speech synthesis and voice cloning, with applications in AI agents, digital humans, and more, featuring advanced architecture and preference ...