About Jesus Rodriguez

Jesus Rodriguez is currently a CTO at Intotheblock. He is a technology expert, executive investor and startup advisor. Jesus founded Tellago, an award winning software development firm focused helping companies become great software organizations by leveraging new enterprise software trends.

Jesus Rodriguez Posts (11)

• Introducing the Plato Research Dialogue System: Building Conversational Applications at Uber’s Scale - 15 Aug 2019
  
  While the process of building simple, domain-specific chatbots has gotten way easier, building large scale, multi-agent conversational applications remains a massive challenge. Recently, the Uber engineering team open sourced the Plato Research Dialogue System, which is the framework powering conversational agents across Uber’s different applications.
• Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game - 08 Aug 2019
  
  The reasons why Pluribus represents a major breakthrough in AI systems might result confusing to many readers. After all, in recent years AI researchers have made tremendous progress across different complex games. However, six-player, no-limit Texas Hold’em still remains one of the most elusive challenges for AI systems.
• Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models - 29 Jul 2019
  
  Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.
• Neural Code Search: How Facebook Uses Neural Networks to Help Developers Search for Code Snippets - 24 Jul 2019
  
  Developers are always searching for answers to questions about their code. But how do they ask the right questions? Facebook is creating new NLP neural networks to help search code repositories that may advance information retrieval algorithms.
• This New Google Technique Help Us Understand How Neural Networks are Thinking - 24 Jul 2019
  
  Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.
• Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference - 12 Jul 2019
  
  Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.
• Seven Key Dimensions to Help You Understand Artificial Intelligence Environments - 02 Jul 2019
  
  Understanding an AI environment is an incredibly complex task but there are several key dimensions that provide clarity on that reasoning.
• PySyft and the Emergence of Private Deep Learning - 27 Jun 2019
  
  PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow.
• How Google uses Reinforcement Learning to Train AI Agents in the Most Popular Sport in the World - 21 Jun 2019
  
  Researchers from the Google Brain team open sourced Google Research Football, a new environment that leverages reinforcement learning to teach AI agents how to master the most popular sport in the world.
• The Emergence of Cooperative and Competitive AI Agents - 19 Jun 2019
  
  Without specific training in collaboration or competition, a recent AI model from DeepMind uses reinforcement learning to evolve these behaviors in game-playing agents. Learn how this emergent collective intelligence outperforms their human counterparts in 3D multiplayer games.