About the Authors

HOBSON LANE has 20 years of experience building autonomous systems that make important decisions on behalf of humans. At Talentpair Hobson taught machines to read and understand resumes with less bias than most recruiters. At Aira he helped build their first chatbot to interpret the visual world for those who are blind. Hobson is passionate about openness and prosocial AI. He’s an active contributor to open source projects such as Keras, scikit-learn, PyBrain, PUGNLP, and ChatterBot. He’s currently pursuing open science research and education projects for Total Good including building an open source cognitive assistant. He has published papers and presented talks at AIAA, PyCon, PAIS, and IEEE and has been awarded several patents in Robotics and Automation.

HANNES MAX HAPKE is an electrical engineer turned machine learning engineer. He became fascinated with neural networks in high school while investigating ways to compute neural networks on micro-controllers. Later in college, he applied concepts of neural nets to control renewable energy power plants effectively. Hannes loves to automate software development and machine learning pipelines. He co-authored deep learning models and machine learning pipelines for recruiting, energy, and healthcare applications. Hannes presented on machine learning at various conferences including OSCON, Open Source Bridge, and Hack University.

COLE HOWARD is a machine learning engineer, NLP practitioner, and writer. A lifelong hunter of patterns, he found his true home in the world of artificial neural networks. He has developed large-scale e-commerce recommendation engines and state-of-the-art neural nets for hyperdimensional machine intelligence systems (deep learning neural nets), which perform at the top of the leader board for the Kaggle competitions. He has presented talks on Convolutional Neural Nets, Recurrent Neural Nets, and their roles in natural language processing at the Open Source Bridge Conference and Hack University.