AI (Artificial Intelligence)

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Generative coding: 10 Breakthrough Technologies 2026

Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business. Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of time it takes to complete the often tedious steps required to finish projects. […]

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AI companions: 10 Breakthrough Technologies 2026

Chatbots are skilled at crafting sophisticated dialogue and mimicking empathetic behavior. They never get tired of chatting. It’s no wonder, then, that so many people now use them for companionship—forging friendships or even romantic relationships.  According to a study from the nonprofit Common Sense Media, 72% of US teenagers have used AI for companionship. Although

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Mechanistic interpretability: 10 Breakthrough Technologies 2026

Hundreds of millions of people now use chatbots every day. And yet the large language models that drive them are so complicated that nobody really understands what they are, how they work, or exactly what they can and can’t do—not even the people who build them. Weird, right? It’s also a problem. Without a clear

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Hyperscale AI data centers: 10 Breakthrough Technologies 2026

In sprawling stretches of farmland and industrial parks, supersized buildings packed with racks of computers are springing up to fuel the AI race. These engineering marvels are a new species of infrastructure: supercomputers designed to train and run large language models at mind-­bending scale, complete with their own specialized chips, cooling systems, and even energy

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Meet the new biologists treating LLMs like aliens

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every block and intersection, every neighborhood and park, as far as you can see—covered in sheets of paper. Now

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How to Annotate Radiology Data for an AI Model

Correctly identifying when a medical finding is absent rather than present is crucial when working on this specific task (for example, extracting labels from radiology reports using CV) about the presence or absence of prespecified pathologies. This article aims to highlight radiology data annotation from the perspective of a data annotation company, examining what goes

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