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Research From the IEEE IBM AI Compute and Emerging Technology Symposia

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In recent years, interest in machine learning, deep learning, and more broadly AI has taken the computing industry by storm. Advancements in AI compute acceleration, along with algorithmic innovations and… Click to show full abstract

In recent years, interest in machine learning, deep learning, and more broadly AI has taken the computing industry by storm. Advancements in AI compute acceleration, along with algorithmic innovations and availability of training data, are widely credited as the catalysts to the resurgence of AI. The potential of AI has caught the interest of researchers spanning various disciplines, e.g., across the hardware and software computing stack, and career stages, e.g., from students to seasoned researchers. This interest has led to a staggering rate of advancement in the field. With the goal of bringing together researchers from various disciplines, career stages, and from industry and academia, the IEEE and IBM organized the $1^{\mathrm {st}}$ AI Compute Symposium (AICS18) [items [1][4] in the Appendix].

Keywords: xref ref; xref; ieee ibm; bibr rid; type bibr; ref type

Journal Title: IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Year Published: 2019

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