Obtaining policies that can generalise to new environments in reinforcement learning is challenging. In this work, we demonstrate that language understanding via a reading policy learner is a promising vehicle for generalisation to new environments. We propose a grounded policy learning problem, Read to Fight Monsters (RTFM), in which the agent must jointly reason over a language goal, relevant dynamics described in a document, and environment observations. We procedurally generate environment dynamics and corresponding language descriptions of the dynamics, such that agents must read to understand new environment dynamics instead of memorising any particular information. In addition, we propose txt2$\pi$, a model that captures three-way interactions between the goal, document, and observations. On RTFM, txt2$\pi$ generalises to new environments with dynamics not seen during training via reading. Furthermore, our model outperforms baselines such as FiLM and language-conditioned CNNs on RTFM. Through curriculum learning, txt2$\pi$ produces policies that excel on complex RTFM tasks requiring several reasoning and coreference steps.

As an architect with a focus on urban design, Legg Yeung realized the limitations of her impact-driven work given the traditionally creative way of framing solutions. This inspired her to make a leap towards a more data driven career, going back to school at UC Berkeley's School of Information to gain new skills with the vision of bringing more quantitative science and deep learning to the field of architecture and urban design. After working hard at developing new skills, she recently landed a resident position at Microsoft Research AI.

If you've heard of quantum computing, you might be excited about the possibility of applying it to machine learning applications. I work at Springboard, and we recently launched a machine learning bootcamp that includes a job guarantee. We want to make sure our graduates are exposed to cutting-edge machine learning applications -- so we put together this article as part of our research into the intersection of quantum computing and machine learning. Let's start by examining the difference between quantum computing and classical computing. In classical computing, your data is stored in physical bits and it is binary and mutually exhaustive: a bit is either in a 0 state or in a 1 state and it cannot be both at the same time.

After becoming the first nation to appoint a minister for artificial intelligence (AI) in 2017, the United Arab Emirates on Wednesday launched what it calls the'world's first AI university' in Abu Dhabi, with the opening of the Mohammad Bin Zayed University of Artifical Intelligence (MBZUAI). MBZUAI will be the world's first graduate university with a dedicated focus on AI. According to the university's website, MBZUAI is "a graduate-level, research-based academic institution that offers specialized degree programs for local and international students in the field of Artificial Intelligence." Located in Masdar City, Abu Dhabi, the university has begun accepting applications for masters and PhD programmes, with classes scheduled to begin in September 2020. Abu Dhabi's crown prince, Shaikh Mohammad Bin Zayed Al Nahyan, tweeted on the occasion, "Launching of the world's first graduate-level artificial intelligence university in Abu Dhabi echoes the UAE's pioneering spirit, and paves the way towards a new era of innovation and technological advancement that benefits the UAE and a world."

Located in Masdar City with the latest state-of-the-art facilities and equipment, the university will offer both masters (two years) and PhD programmes (four years) for local and international graduate students across three main specialised fields – machine learning, computer vision and natural language processing – as the UAE looks to equip the next generation of students with the latest expertise in the field of AI.

Please note on June 30, 2020, this program will be retiring and no longer available on edX. If you are interested in earning the Professional Certificate you must be complete the program by June 30, 2020, in order to earn the certificate. Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app. The AI Professional Certificate program takes aspiring AI engineers from a basic introduction of AI to mastery of the skills needed to build deep learning models for AI solutions that exhibit human-like behavior and intelligence.

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As we collectively experience the increasing pervasiveness of machine learning algorithms that drive so many services and functions in our society, it is clear to us that a new workforce of specialized programmers and computer scientists exist behind this reality. You may even be one of these wunderkinds who expanded your early coding education to include the development of learning algorithms for enhancing existing software applications or creating entirely new deep learning systems. Or, you may be an "older-kinder" who quickly circled back to catch the wave of AI excitement to coral it into your well-honed development tool kit. Either way, while the current generation of programmers is running with machine learning trends, the next round of professionals who will fill our shoes – those young ones who are learning PowerPoint and Common Core math in grade school today – are experiencing AI as something that is… just already something normal. AI-powered digital voice assistants are commonplace in homes, and kids are thrilled to ask what the weather is today repeatedly or to have the device tell a joke.There are people behind this magic, of course, and the fad of learning this trade could become just that if we don't consider how to ensure a pipeline of future machine learning developers to carry our torch.

The development of artificial intelligence (AI) is causing ripple effects across a plethora of industries, and higher education is no exception.

The UAE is rolling out its biggest effort yet to develop a workforce versed in artificial intelligence, as the rapidly-advancing technology transforms economies worldwide. The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a new graduate-level AI research university in Abu Dhabi, is accepting applications for its first masters and PhD-level programmes this month, with its first class beginning in September 2020. The institution, the first university to have a singular focus on AI, aims to attract students from around the world to advance the technology and propel the UAE's economic diversification efforts. To compete with more than a hundred graduate-level degree programmes in AI -- mainly in North America, China and the UK -- MBZUAI is offering full scholarships, monthly stipends, health insurance and accommodation to all students. The Mohamed bin Zayed University of Artificial Intelligence is an open invitation from Abu Dhabi to the world to unleash AI's full potential.