Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates
This is our AI Daily Roundup. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions.
We cover the role of AI Daily Roundup and its application in various industries and daily lives.
Jumio Scales AI-Powered Digital Trust Solutions through NextWealth Partnership
Jumio, the leading provider of automated, end-to-end identity verification, risk assessment, and compliance solutions announced the expansion of its strategic partnership with NextWealth, a leading pure play data services provider.
AnyMAL By Meta AI: The Future Of Multimodol Language
AnyMAL, like any cutting-edge technology, has limits. It sometimes has trouble prioritizing visual context over text-based clues, and its expertise is limited by image-text data. However, the model’s ability to support modalities beyond the four initially evaluated offers interesting opportunities for AI-driven communication research and applications.
Clovity and SAP Announce Strategic Partnership to Drive Cloud-Enabled Transformations
Clovity, a leading provider of digital transformation solutions, announced its strategic partnership with SAP, the world’s leading provider of business software solutions. This collaboration aims to help companies leverage the power of cloud technology to maximize the impact of their business transformations.
Veeam Announces Backup-as-a-Service for Microsoft 365 and Microsoft Azure
Veeam Software, the leader in Data Protection and Ransomware Recovery announced two new offerings that combine the confidence and reliability of Veeam’s backup and restore capabilities with the ease of use of Backup-as-a-Service (BaaS).
The Power Of Concept2Box: Bridging The Gap Of Connectivity
Traditional approaches sometimes ignore knowledge graphs’ two forms of information: high-level concepts about the general structure and detailed individual entities. These approaches usually treat all knowledge network nodes as vectors in one hidden space.
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