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.

AI Summit: GNA Energy launches ‘Vidyut AI’ to boost operating framework

The five-day-long AI Impact Summit 2026, held in the national capital, saw significant innovations and applications being ...
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 24 TOPS NPU and featuring an ...
Business Insider

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd ...
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 ...
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

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...