A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

Scientists have developed a deep learning model that improves PV panel segmentation in remote sensing images, by combining ...

Small models are doing more than they should ...

For years, the enterprise AI landscape has been defined by the "black box" model: static, opaque, and fundamentally rigid. Developers have long hit a wall with these generalist systems—they are either ...

Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Abstract: The rapid expansion of the Internet of Things (IoT) and digital logistics has created a critical demand for machine-readable data carriers that are both high-density and resource-efficient.

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might look like in the encoding space ...

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

Sudden cardiac death claims hundreds of thousands of lives annually, often striking without warning in people who had seemed reasonably healthy. Implantable defibrillators can terminate the lethal ...

Abstract: The proposed Edge-Strengthening Parallel UNet (ESP-UNet) is a high-end encoder-decoder deep learning model capable of Automatically Segmenting the Liver (ALS) in LCTIs (Abdominal Liver CT ...