“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...

In what way is AI is reshaping data skills, teams, and upskilling strategies in the new year? For a strategic insight, ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

For the past decade, progress in artificial intelligence has been measured by scale: bigger models, larger datasets, and more ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...