Artificial Intelligence and Machine Learning (Research at Google)
I assume you have been good so far this week so time for a mid-week present!
As of today, a list of two hundred and forty-nine publications in artificial intelligence and machine learning from Google Research!
From the webpage:
Much of our work on language, speech, translation, and visual processing relies on Machine Learning and AI. In all of those tasks and many others, we gather large volumes of direct or indirect evidence of relationships of interest, and we apply learning algorithms to generalize from that evidence to new cases of interest. Machine Learning at Google raises deep scientific and engineering challenges. Contrary to much of current theory and practice, the statistics of the data we observe shifts very rapidly, the features of interest change as well, and the volume of data often precludes the use of standard single-machine training algorithms. When learning systems are placed at the core of interactive services in a rapidly changing and sometimes adversarial environment, statistical models need to be combined with ideas from control and game theory, for example when using learning in auction algorithms.
Research at Google is at the forefront of innovation in Machine Learning with one of the most active groups working on virtually all aspects of learning, theory as well as applications, and a strong academic presence through technical talks and publications in major conferences and journals.
Don’t neglect your “real” work but either find a paper relevant to your “real” work or read one during lunch or on break.
You will be glad you did!