Constructing deep learning systems today is thus still a largely bespoke process, involving crafting a customized solution tailored for the unique needs of each specific application.

Key pros and cons of deep learning include its ability to handle large amounts of unstructured data and achieve high accuracy in challenging tasks, both of which are significant advantages.

Hypatos is applying language processing AI and computer vision tech to speed up financial document processing for business use cases such as invoices, travel and expense management, loan ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...