Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Abstract: This study investigates the use of Recurrent Neural Networks (RNNs) for real-time ECG signal classification. The CNN-RNN hybrid model achieved the highest accuracy of 97.5% and an F1-score ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on ...

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...

Abstract: Deep learning is making a profound impact in the physical layer of wireless communications. Despite exhibiting outstanding empirical performance in tasks such as MIMO receive processing, the ...