Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

Hunting limits aren’t arbitrary—they‘re determined using highly specific data points. They are determined on a state-by-state ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Although chatbots such as ChatGPT, which are powered by large language models (LLMs), have some sense of time, it is conceptualized in a completely different way. As we increasingly interact with them ...

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

Apophenia is the mind’s tendency to find meaning in randomness. It shapes creativity, emotion, and misunderstanding, ...

Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Given Bad Bunny’s history of speaking out on environmental issues in Puerto Rico, his example sets an intriguing precedent ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...