33 verified PDFs
by AG Baydin · 2018 · Cited by 5312 — It is an active area of research to improve storage requirements in implementations by using advanced methods such as checkpointing strategies and data-flow.
The four directions are (a) improving classification accuracy by learning ensembles of classifiers, (b) methods for scaling up supervised learning algorithms, ( ...
Winning the AI race will usher in a new golden age of human flourishing, economic competitiveness, and national security for the American people ...
Machine learning (ML) has become increasingly popular among researchers and is used to analyze large and complex data sets to gain novel ...
The computational demands of deep learning applications in areas such as image classification, object detection, question answering, and machine translation ...
Deep learning has been one of the most significant advancements, especially in image processing, because of its capability to handle big data.
The article examines the widespread adoption of deep learning across sectors including healthcare, automotive, and NLP, showcasing its potential ...
Recent significant advancements in deep learning architectures in a range of fields have had a significant impact on artificial intelligence. This article ...
by S Amershi · Cited by 1509 — In this paper, we offer the following contributions. 1) A description of how several Microsoft software en- gineering teams work cast into a nine-stage workflow.
by D Sculley · Cited by 2366 — In this paper, we argue that ML systems have a special capacity for incurring technical debt, because they have all of the maintenance problems of traditional ...
by JJE Conway · 2018 · Cited by 49 — Artificial Intelligence and Machine Learning: Current Applications in Real Estate by. Jennifer Conway. B.A. Architecture, 2010.
This paper examines developments in the fields of deep learning, such as cybersecurity, healthcare, object detection, big data, speech ...
Machine-learning algorithms work by search- ing a space of possible hypotheses H for the most accurate hypothesis (that is, the hypoth- esis that best ...
