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.

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

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

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

A new method can secretly watermark ChatGPT-like models in seconds without retraining, leaving no trace in general output and ...

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 ...

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...

Artificial intelligence is advancing rapidly and transforming the way entire industries operate. Companies are trying to keep ...

AI is already having an impact on the conventional SaaS. A potential freemium model may make things even more complicated.