news 
Decentralized AI Is Watching —And Understanding — Everything
In an age where artificial intelligence (AI) has become ubiquitous, the boundaries of its capabilities have been steadily pushed forward. The latest innovation in this field is Score, a decentralized AI system that can turn low-quality video footage into structured data and make predictions based on it.
Score’s technology was initially developed to cater to the needs of sports betting and scouting. However, its potential applications are far broader than just that. In fact, the company has already identified several areas where this innovative solution could be utilized, including retail theft detection, insurance disputes, predictive diagnostics in healthcare, and much more.
What sets Score apart from other AI-based computer vision systems is its ability to extract meaningful data from poor-quality video footage. This capacity has been touted as a significant advantage for the sports industry, with clubs eager to gain insights on all matches where cameras are present.
Furthermore, the system’s valuation model assigns a numerical value to each player’s contribution in real-time. This groundbreaking technology opens doors to global scouting and could potentially revolutionize the way we approach sports analytics.
The company has chosen an open-source approach, which enables developers, researchers, and companies to build upon Score without rebuilding its core infrastructure.
Source: www.forbes.com
