It is no secret that many AI systems, including popular platforms such as ChatGPT, have privacy invasive features turned on ...

The field of data science and AI is booming: technology companies are regularly releasing new models, while others are increasing their spending on AI tools – and seeing their investments pay off. “AI ...

Danish startup Teton has used one of Europe’s most powerful supercomputers to train its AI, which helps nurses take care of ...

The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for ...

In recent years, the global installation of ESS (energy storage systems) has been on a steady upward trend. However, safety incidents have emerged as a persistent obstacle, impeding the healthy ...

Hallucinations / A common (but controversial) term of art for undesirable outputs produced by generative AI, such as when ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

The RAND Corporation’s report forecasts that future AI progress will hinge more on smarter algorithms such as data tailoring, ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

The achievement represents a major step forward, potentially unlocking innovations across numerous fields that rely on ...

This study investigates this impact by constructing a comprehensive dataset that includes stock market, bond market, and foreign exchange market data from multiple countries. A deep learning algorithm ...