Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

Gamalon Inc, emerged from stealth mode this week, announced two machine learning products, based on an in-house technology known as Bayesian Program Synthesis (BPS). The company claims BPS can perform machine learning tasks 100 times faster than conventio... (more…)

Contribute to sjosund/ml-project-checklist development by creating an account on GitHub. (more…)

This TPU on-a-stick could dramatically increase performance. (more…)

Google Cloud’s Machine Learning Startup Competition brings together startups implementing machine learning. Apply today for your chance to win VC investment. (more…)