Low-code AutoML-augmented data pipeline–a review and experiments
U Gain, V Hotti - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
There is a lack of knowledge concerning the low-code autoML (automated machine
learning) frameworks that can be used to enrich data for several purposes concerning either …
learning) frameworks that can be used to enrich data for several purposes concerning either …
Better together? an evaluation of ai-supported code translation
Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …
cases including translating code between programming languages, creating documentation …
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations
This paper addresses AI product prototyping, focusing on the challenges posed by the
probabilistic nature of AI behavior and the limited accessibility of prototyping tools to AI non …
probabilistic nature of AI behavior and the limited accessibility of prototyping tools to AI non …
“Democratizing” artificial intelligence in medicine and healthcare: Mapping the uses of an elusive term
G Rubeis, K Dubbala, I Metzler - Frontiers in Genetics, 2022 - frontiersin.org
Introduction:“Democratizing” artificial intelligence (AI) in medicine and healthcare is a vague
term that encompasses various meanings, issues, and visions. This article maps the ways …
term that encompasses various meanings, issues, and visions. This article maps the ways …
Exploring the Impact of AI-generated Image Tools on Professional and Non-professional Users in the Art and Design Fields
The rapid proliferation of AI-generated image tools is transforming the art and design fields,
challenging traditional notions of creativity and impacting both professional and non …
challenging traditional notions of creativity and impacting both professional and non …
[PDF][PDF] Improving the Reliability of Cloud-Based Pre-Trained Machine Learning Models
A Cummaudo - 2022 - dro.deakin.edu.au
This thesis identified non-trivial implications to software quality resulting from evolving pre-
trained machine learning models served through cloud computing platforms. The study's …
trained machine learning models served through cloud computing platforms. The study's …
An FPGA accelerator for embedded microcontrollers implementing a ternarized backpropagation algorithm
T Kaneko, H Momose, T Asai - 2019 International Conference …, 2019 - ieeexplore.ieee.org
To better utilize artificial intelligence (AI) in the edge domain, such that it is more attractive
and fruitful, the development of low-power and-resource AI devices dedicated to online …
and fruitful, the development of low-power and-resource AI devices dedicated to online …
[PDF][PDF] Programming Artificial Intelligence: A Reconfigurable AI shield for Embedded Microcontrollers
T Asai, H Momose - researchgate.net
Artificial Intelligence (AI) has become the undisputed protagonist of most technological
development projects. To develop AI, a learning (training) phase is fundamental, in fact, it is …
development projects. To develop AI, a learning (training) phase is fundamental, in fact, it is …
[PDF][PDF] An examination of the Democracy-Globalisation-Technology-Nexus and its impact on shaping diplomacy in the 21st century.
JF Scarpelini - 2020 - researchgate.net
Over the last four decades, diplomacy has experienced unprecedented changes,
transforming diplomatic spaces, practices, means and agenda. Democracy, globalisation …
transforming diplomatic spaces, practices, means and agenda. Democracy, globalisation …