Deep learning's recent history has been one of achievement: from triumphing over humans
in the game of Go to world-leading performance in image classification, voice recognition …

Artificial intelligence is likely to revolutionize multiple aspects of organizational creativity.
Through a multilevel theoretical lens, the present paper reviews the extant body of …

With the waning of Moore's law, optimizing program performance has become a major focus
of software research. However, high-level optimizations such as API and algorithm changes …

This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …

Substantial improvements in computing energy efficiency, by up to ten orders of magnitude,
will be required to solve major computing problems—such as planetary-scale weather …

Denizens of Silicon Valley have called Moore's Law" the most important graph in human
history," and economists have found that Moore's Law-powered IT revolution has been one …

We investigate the rate at which algorithms for pre-training language models have improved
since the advent of deep learning. Using a dataset of over 200 language model evaluations …

Although the application of deep learning in remote sensing (RS) has achieved fruitful
results, systematic research on exploring the model performance and guiding the design of …

Digitalization and artificial intelligence increasingly affect the world of work. Rising risk of
massive job losses have sparked technological fears. Limited income and productivity gains …

We investigate algorithmic progress in image classification on ImageNet, perhaps the most
well-known test bed for computer vision. We estimate a model, informed by work on neural …