Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

DeepSeek has been accused of training on data from rival AI models before. In December, developers observed that DeepSeek’s V3 model often identified itself as ChatGPT, OpenAI’s AI-powered ...

This article presents a novel method for measuring the mass flow rate of gas-liquid two-phase flow based on the multi-sensor data fusion and soft computing model. A multi-sensor system comprising a ...

Data-driven deep learning techniques have made notable advancements in modeling electromagnetic scattering problems. However, its accuracy on the testing dataset can be heavily reduced when data ...

At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion ...

AI model uses transfer learning to forecast storm flooding in data-scarce areas by Courtney Sakry, Virginia Tech edited by Gaby Clark , reviewed by Alexander Pol ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...