Although smaller in size, the more focused nature of SLMs can make them more effective. There are two main forms - either ...

How does access control ensure users see only what they’re allowed to when AI blends data from multiple sources?

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed ...

While companies collect users’ data to train AI models for positive purposes, this data can also be exploited for harmful actions. Now, the question is, “Do you have any control over your data ...

This project is a centralized data repository, and we’re more concerned with aligning the data so that in the future these data sources are easier to use and more reliable.

Model Predictive Control (MPC) is a popular control strategy that relies on the availability of a prediction model to estimate future system trajectories over a finite time horizon. Recently, ...

Businesses themselves, not closed-source AI companies, need ownership and control of their proprietary models.

OpenAI’s newest model is “a data hoover on steroids,” says one expert—but there are still ways to use it while minimizing risk to your private data.

The Evolution of Data and AI in Motion McKinsey reports that AI-driven personalization models have the potential to boost profitability by 5% to 25%.

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence.

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year.