ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...

Google Cloud has recently introduced a new feature, Cloud Storage bucket relocation, designed to simplify the process of moving data buckets to different geographical locations without disrupting ...

There is no way to add metadata to the runnable object created from pydantic. Currently, when we try to create a guard object from a 'for_pydantic' function, it internally calls GuardRunnable, and ...

Following the documentation on Attaching extra information to an emitting dataset event causes an incorrect warning to be emitted. (The warning is incorrect in the sense that it says the user did ...

Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.