This repository contains the lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford. This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence. The ambiguities and noise inherent in human communication render traditional symbolic AI techniques ineffective for representing and analysing language data. This is an applied course focussing on recent advances in analysing and generating speech and text using recurrent neural networks.
The Artificial Intelligence revolution is here. We are moving further into an age, where the imagination stirred from our childhood spent watching movies, is now becoming reality. Leading us into this age are the typical (and untypical) tech giants, who are fiercely competing for the next break through. Project Oxford is Microsoft's venture into the world of artificial intelligence and deep learning. It takes in several key areas, including image, facial, text and speech recognition, and hopes to implement the technology into its computer operating systems and smartphone software.
The founders of OST believed that these challenges could be solved by developing new algorithms and data structures specifically designed to support efficient reasoning even with rapidly changing rules and data. This intuition was the starting point for the design and implementation of RDFox. RDFox is a high-performance knowledge graph and semantic reasoning engine which can evaluate complex queries and rules at scale and on the fly. Its speed and flexibility have unlocked a new wave of enterprise applications which had previously been unimaginable.
Artificial intelligence (AI) is a widely used term that conjures notions of fantasy, the future, or even threat. This is not surprising considering the multitude of movies which dramatise the role of artificial intelligence and what it may become. In reality, artificial intelligence is a branch of computer science which aims to "understand and build intelligent entities by automating human intellectual tasks". These processes have contributed to numerous technological advances across various industries, for example. It is now quite common to see articles about the latest AI development -- check out these robots which flip burgers!
The competition and commission is open to all applicants, wherever in the world you may be based, but due to the collaborative nature of the commission the successful candidate must be able to communicate in English with confidence. Applicants will be expected to show a track record of delivery of ideas of this scale to a defined timeline, to be able to deliver to a set date and budget in Oxford. The opportunity will be of particular interest to innovators, artists, designers, architects, urbanists, interaction designers, digital performance designers, technologists and creative practitioners who can demonstrate a history of delivering high quality, innovative art and technology practice. We aim to broaden the constituency of people currently engaged in imagining city futures, so we particularly welcome applications from deaf and disabled practitioners and practitioners from a Black, Asian and Minority Ethnic background. An existing Oxford connection is not a necessity - Smart Oxford and Playable City will facilitate collaborations with Oxford creative teams at shortlisting stage, if necessary, to connect projects explicitly with the city.