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…)

Influential authors can drive the sentiment towards a product or service through their opinions and hence it is necessary to identity most influential authors who are expressing their opinion in socia... (more…)

VentureBeat spoke with Dean Thursday about Google's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational AI, and machine learning trends to watch in 2020. ... (more…)

Iterations on revealing recurring patterns of thought, feeling, and behavior... (more…)

With no well-specified rewards and state transitions that take place in a myriad of ways, training a robot via reinforcement learning represents perhaps the most complex arena for machine learning. (more…)