current
Machine Learning & Big Data
Advances in machine learning and big data processing enable deeper insights into human behavior and natural phenomena.
Themes
Timeframe
near-term
Categories
Impact areas
Detailed Analysis
The continued advancement of machine learning and the ability to process vast amounts of data are providing deeper insights into human behavior and natural phenomena. These insights are driving progress in areas such as medicine, climatology, and urban development. "O avanço em aprendizado de máquina e a capacidade de processar grandes volumes de dados permitirão insights mais profundos sobre comportamentos humanos e fenômenos naturais, impulsionando avanços em áreas como medicina, climatology e desenvolvimento urbano."
Context Signals
Increasing availability of large datasets and cloud computing resources
Development of more sophisticated machine learning algorithms
Growing use of data analytics for decision-making in various fields
Edge
Development of AI-powered early warning systems for natural disasters
Use of machine learning for personalized medicine and drug discovery
Creation of smart cities and data-driven urban planning solutions
