The Role of Deep Learning in Artificial Intelligence: Essential or Optional?

The earliest artificial neural network, the Perceptron, was introduced approximately 65 years ago and consisted of just one layer.  However, to address solutions for more complex classification tasks, more advanced neural network architectures consisting of numerous feedforward (consecutive) layers were later introduced. This is the essential component of the current implementation of deep learning algorithms. Read more about The Role of Deep Learning in Artificial Intelligence: Essential or Optional?[…]

Robots learning new tasks from demonstrations

Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching Read more about Robots learning new tasks from demonstrations[…]

Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles

Speaking at the World Knowledge Forum in Seoul, South Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice president, offered the autonomous driving industry a way to prove the safety of autonomous vehicles. His solution, published in an academic paper and a layman’s summary paper, provides a formal, mathematical formula to ensure that a self-driving vehicle operates Read more about Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles[…]