Over time, our emerging high-usage products will likely generate significant new revenue streams for Google as well as for our partners, just as search does today.
In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
