Federated learning is a type of machine learning where data is distributed among different devices, instead of being centralized in a single server. Devices can be trained locally on their own data, and then share their model updates with each other, without sharing the underlying data.
Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
Technology in a post-covid world has spurred many changes in the technology industry.
The metaverse is a virtual world that people can use to interact with each other and with digital objects and create and share content.
Geometric deep learning is a type of machine learning that is based on geometric data, such as images, 3D models, and point clouds. It is a relatively new field that is growing rapidly due to the increasing amount of data that is available in these formats.
Blockchain technology is simply a distributed ledger; or put in another way, a write-only database which is shared across a distributed group of computers.
As the financial technology sector continues to grow, so does the need for robust and well-designed APIs. In this article, we’ll explore some of the best practices for developing FinTech APIs, from design to security.
Natural language processing can be used for tasks such as automatic summarization, text classification, part-of-speech tagging, and entity recognition.
Your insurance carrier just sent you a cyber-security questionnaire to fill out. You may feel stressed out, and wonder if you are going to have to hire a cyber-security specialist to help you; and if your insurance premiums are going to go up.
Technical due diligence can help identify risks that could impact the success of the acquisition, such as outdated technology, poor architecture, or inadequate infrastructure.
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