Visual Foundation Model (VFM) is used for tasks related to visual understanding or processing that is the specialised tools in an AI toolkit, a generative AI to understand and process visual information. VFMs refer to large-scale pretrained neural network architectures that serve as the basis or foundation for various downstream computer vision tasks, usually incorporate components of large language models to enable image generation using text-based input prompts.

Related Definitions in the Project: The Computer Technology 

Global Upstream M&A Market Poised for $150 Billion Injection in 2024 (30 April 2024): By Rystad Energy - After the biggest first quarter for global upstream dealmaking in five years, the industry could see another $150 billion of merger and acquisition (M&A) deals in the remainder of 2024. With global M&A deal value crossing the $64 billion mark already this year, it represents the strongest first-quarter performance since 2019 and a 145% increase on the first quarter of 2023, fueled primarily by consolidation in the US shale patch. Deals in North America totaled $54 billion in the first quarter of the year, about 83% of the worldwide total, with the region continuing to be the driving force for the remainder of 2024, with nearly $80 billion of assets still on the market. The US shale sector is expected to be the engine driving this activity, accounting for 66% or slightly more than $52 billion of assets on the market. ... (Source: Oil Price)