The AI Index 2021 Annual Report

Zhang, Dongke; Mishra, Saurabh; Brynjolfsson, Erik; Etchemendy, John; Ganguli, Deep; Grosz, Barbara J.; Lyons, Terah; Manyika, James; Niebles, Juan Carlos; Michael, Sellitto,; Shoham, Yoav; Clark, Jack A.; Perrault, Raymond

doi:10.48550/arxiv.2103.06312

Cited by 18 publications

(25 citation statements)

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“…Spurred by the need to overcome these limitations, we see a shift in research towards data-driven signal processing methods (mostly based on deep learning), a trend that has started around 2014 (Zhang et al, 2021), which sees a significant increase in the number of peer reviewed AI publications. This can be explained by 2 significant factors: 1) the availability of high compute-power GPUs, and 2) the availability of easy-to-use machine learning frameworks such as TensorFlow (Abadi et al, 2015) and PyTorch (Paszke et al, 2019), which have significantly lowered the threshold of entry into the field of AI for ultrasound researchers.…”

Section: Post-processing and Interpretationmentioning

confidence: 99%

Ultrasound Signal Processing: From Models to Deep Learning

Luijten¹,

Chennakeshava²,

Eldar³

et al. 2022

Preprint

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Medical ultrasound imaging relies heavily on high-quality signal processing algorithms to provide reliable and interpretable image reconstructions. Hand-crafted reconstruction methods, often based on approximations of the underlying measurement model, are useful in practice, but notoriously fall behind in terms of image quality. More sophisticated solutions, based on statistical modelling, careful parameter tuning, or through increased model complexity, can be sensitive to different environments. Recently, deep learning based methods have gained popularity, which are optimized in a datadriven fashion. These model-agnostic methods often rely on generic model structures, and require vast training data to converge to a robust solution.A relatively new paradigm combines the power of the two: leveraging datadriven deep learning, as well as exploiting domain knowledge.

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Section: Post-processing and Interpretationmentioning

confidence: 99%

Ultrasound Signal Processing: From Models to Deep Learning

Luijten¹,

Chennakeshava²,

Eldar³

et al. 2022

Preprint

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“…See for example Goldfarb and Trefler (2019a). Data are from Zhang et al (2021). We measure the AI intensity of a product or App category as the sum of all single-category-firm AI patents for firms in category c divided by the sum of all single-category-firm assets for firms in category c. This is calculated at the global level, meaning we sum across firms in all countries.…”

Section: IVmentioning

confidence: 99%

Robots and AI

Ing¹,

Grossman²

2022

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Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises. This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on trade, industry, and employment.

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“…Learning about AI in formal education has, for the most, part been confined to university-level courses, primarily as a sub-discipline within computer science, and is taught now more broadly and applied in domains such as business, medicine, biology, engineering, and even the social sciences. In fact, according to Stanford University's AI Index Report 2021, a survey conducted in 2020 indicates that the world's top universities have increased their AI education offerings in the past 4 years (Zhang et al 2021). Today, AI education is further being considered at the full range of educational levels, from pre-K and kindergarten, through K-12 and university, and to adults engaged in continuing education and continuing professional development programs.…”

Section: Introductionmentioning

confidence: 99%

An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

Johnson

Alsharid

El-Bouri

et al. 2022

AAAI

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Teaching artificial intelligence (AI) is challenging. It is a fast moving field and therefore difficult to keep people updated with the state-of-the-art. Educational offerings for students are ever increasing, beyond university degree programs where AI education traditionally lay. In this paper, we present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE). Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes. We present an overview of our course, curriculum and teaching methods, and we discuss our reflections on teaching adult learners, and to students in the UAE.

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The AI Index 2021 Annual Report

Cited by 18 publications

References 0 publications

Ultrasound Signal Processing: From Models to Deep Learning

Ultrasound Signal Processing: From Models to Deep Learning

Robots and AI

An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

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