The Research Center for Advanced Decision Technologies (R-CADT) presents a graduate course on Parallel Mathematical Thinking and Large-Scale Optimization for Enterprise-Wide Optimization Systems. It explores the future of mathematics, emphasizing parallel thinking as crucial for industries using multi-core processors and distributed systems. The methodologies will revolutionize how professionals solve large-scale problems, offering efficient, real-time solutions akin to the human brain’s parallel thinking.
Key concepts include:
- Parallel Mathematical Thinking: A forward-looking approach to solving complex, real-time problems, surpassing traditional sequential methods.
- AI and Large-Scale Optimization: Advanced AI techniques that tackle the challenges of optimizing entire enterprises with real-time, distributed solutions.
This course highlights that parallel thinking will replace traditional mathematics in high-performance environments, essential for professionals in AI-driven industries.
«In the future, only parallel mathematical thinking will be practical. Just as paper-based mathematics became obsolete, so will single-processor mathematics in a world of millions of cores.»
TELEPHONES
+57 3114966970
+57 3114966970
sandra.papagayo@hypothalamus-ai.com
andrea.velasquez@hypothalamus-ai.com
- Diseño de la cadena de suministro
- Optimización de la cadena de suministro y demanda
- Optimización de la Programación
- Optimización de rutas de vehículos
- Optimización del transporte y la logística
- Optimización de la energía
- Optimización holística de la planificación regional
- Diseño de ciudades inteligentes
- Fabricación por procesos
- Transporte
- Minería
- Agricultura
- Petróleo y gas
- Energías renovables
- Energía
- Ordenación del territorio
- Educación
- Sanidad