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.

It also enables synthetic data to safely power adjacent domains such as Intelligent Document Processing (IDP ... AI & Automation: Supply privacy-safe unstructured datasets for training and validating ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Busie's experience building a charter transportation platform from scratch on Confluent's streaming infrastructure demonstrates what becomes possible when organizations adopt data products principles ...

Upskilling employees to use AI within organizations is far behind what it should be, according to McDonald’s Chief Data & Analytics Officer Michelle Gansle. Her keynote at MAICON earlier this month ...

IE also provides mortgage and real estate data services, using AI to analyze the minute details of documents, photographs, ...

GPU semiconductor factory, Jensen Huang’s roadmap connects data centers, networks, and industrial systems into a ...

Interview: Nathan Thomas outlines how Oracle is advancing multicloud and AI strategy through Zettascale GPU clusters, unified ...

The National President of the Nigerian Metallurgical Society (NMS), Dr Fidelis Achiv, has called for an urgent overhaul of ...

As India’s digital and AI adoption accelerates, keeping data and computation within national borders is key to ensuring trust ...

Entering the AI chip market isn't like entering the smartphone market. Nvidia doesn't just sell chips—it sells an entire ...