Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

ModelOps supplies enterprises with the tools they need to improve data and get the most out of their artificial intelligence ...

Discover whether large language models like GPT can actually learn or update their knowledge after training. This video ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

Participants in a multidisciplinary comprehensive obesity care model had clinically meaningful weight loss and high obesity ...

A new report has revealed that open-weight large language models (LLMs) have remained highly vulnerable to adaptive ...

This is a laboratory for developing Amazon’s voice assistant “Alexa” and the Echo devices that house it. The residential space was recreated to test the technology in an environment identical to where ...

Media mix modeling (MMM) is a statistical analysis technique that estimates the impact of various marketing and media channels on business outcomes such as sales or brand awareness. It uses historical ...