Course: Parallel Mathematical Thinking and Large-Scale Optimization Methodologies Applied to Enterprise-Wide Optimization Systems. A Different Course in Advanced Optimization.

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


WHATSAPP

+57 3114966970


EMAIL

sandra.papagayo@hypothalamus-ai.com

andrea.velasquez@hypothalamus-ai.com

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