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.

Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

By Jesus Rodriguez, Intotheblock on July 12, 2019 in Inference, Julia, MIT, Programming Languages
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

By Jesus Rodriguez, Intotheblock on July 2, 2019 in AI, Environment
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

By Jesus Rodriguez, Intotheblock on June 27, 2019 in Deep Learning, Differential Privacy, Privacy, Python, Security
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

By Jesus Rodriguez, Intotheblock on June 21, 2019 in Agents, AI, Football, Google, Reinforcement Learning, Soccer
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

By Jesus Rodriguez, Intotheblock on June 19, 2019 in Agents, AI, DeepMind, Reinforcement Learning
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.
How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks

By Jesus Rodriguez, Intotheblock on May 30, 2019 in Deep Learning, Lottery, Machine Learning, Neural Networks, Training Data
The training of machine learning models is often compared to winning the lottery by buying every possible ticket. But if we know how winning the lottery looks like, couldn’t we be smarter about selecting the tickets?

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