SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new opportunities for chipmakers, EDA companies, and IP vendors.

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

Overview Data engineers build the pipelines and systems that collect, clean, and organize information for analysis.Data scientists use that organized data to un ...

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...

OpenAI's Sora 2 Japanese content is under fire as Studio Ghibli, Square Enix, and Bandai Namco demand an AI training halt, ...

The intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...

Identity resolution often anchors vendor pitches. Vendors claim CDPs can merge disparate identifiers into coherent customer ...

Rubrik RBRK and Dell Technologies DELL are major players in the enterprise data protection and cybersecurity market. Both ...

According to Dimers’ renowned predictive analytics model, the Chiefs are more likely to defeat the Bills at Highmark Stadium.