The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

Florida Atlantic University (FAU) will become the first university in Florida to publicly host ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

Musk’s xAI is recruiting a cryptocurrency finance expert to help train advanced AI models using blockchain, DeFi, and quantitative trading knowledge.

A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds ...

For AI factories, the stakes are higher because the payloads are richer, including foundation model weights and finetunes, ...