Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

This leap is made possible by near-lossless accuracy under 4-bit weight and KV cache quantization, allowing developers to process massive datasets without server-grade infrastructure.

However, landslide hazard, risk assessment, and early warning systems remain constrained by fragmented, inconsistent, and ...

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...

Introduction Integration of management of tuberculosis (TB) and HIV with prevention and treatment of non-communicable ...

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Generative AI, with its rapidly developing technologies, has changed how designers look to solve problems relating to the scene’s animation: eliminating inefficiencies, reducing high production costs, ...

Over the past 5 years, large language models (LLMs) have emerged and continued to improve in their generative abilities and are now capable of generating human-understandable text and performing ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...