The Transformer architecture, introduced by Vaswani et al. in 2017, serves as the backbone of contemporary language models. Over the years, numerous modifications to this architecture have been ...

The new year is already shaping up as a good one for roller coaster enthusiasts, thrill ride junkies and theme park fanatics.

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...

On this feature of the FRAME, we explore the traditional methods and technology used behind paper manufacturing in Asia. Do ...

A recent perspective published Nov. 13 in Intelligent Computing, asserts that today's artificial intelligence systems have ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single ...

Language models (LMs) based on transformers have become the gold standard in natural language processing, thanks to their exceptional performance, parallel processing capabilities, and ability to ...

Instead, they suggest, "it would be ideal for LLMs to have the freedom to reason without any language constraints and then translate their findings into language only when necessary." To achieve that ...

In collaboration with researcers from UCLA, UCSD, and Salesforce AI Research, the AKOOL Research team has developed an innovative generative framework, the Latent Prompt Transformer (LPT). This novel ...

With the “Graz corpus of read and spontaneous speech”, researchers at Graz University of Technology have developed new methods for speech recognition of Austrian German using speech data from 38 ...

The co-founder of NEAR is working to create a full ecosystem for decentralized AI.