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…)
Read more »
Julia Computing was founded with a mission to make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, London and Bangalore and we serve customers worldwide. (more…)
Read more »
Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I… (more…)
Read more »
Last year, Lyft open-sourced a large-scale dataset known as Level 5 dataset. Level 5 featured the raw sensor camera and Lidar inputs... (more…)
Read more »