1.1 the deep learning revolution and its implications for computer architecture and chip design

J Dean - 2020 IEEE International Solid-State Circuits …, 2020 - ieeexplore.ieee.org
The past decade has seen a remarkable series of advances in machine learning, and in
particular deeplearning approaches based on artificial neural networks, to improve our …

Predictive analytics in humanitarian action: A preliminary mapping and analysis

K Hernandez, T Roberts - 2020 - opendocs.ids.ac.uk
This rapid review research provides the most comprehensive mapping and analysis of
predictive analytic initiatives in humanitarian aid to date. It documents 49 projects including …

[HTML][HTML] Global flood exposure from different sized rivers

MV Bernhofen, MA Trigg, PA Sleigh… - … Hazards and Earth …, 2021 - nhess.copernicus.org
There is now a wealth of data to calculate global flood exposure. Available datasets differ in
detail and representation of both global population distribution and global flood hazard …

[图书][B] Technology Entrepreneurship and Sustainable Development

P Ray, R Shaw - 2022 - Springer
The world is facing different development challenges, disaster and climate change risks and
other associated complex risks. On the other hand, technology is progressing very fast in …

Emerging technologies and innovation to reach out to vulnerable populations in Nepal

U Kharel, A Sigdel, S Uprety, T Ng'ong'a… - Technology …, 2022 - Springer
In the dawn of the Fourth Industrial Revolution (Industry 4.0) shaped by Artificial Intelligence
(AI) blockchain, Internet of Things, multiverse, and quantum computing, the emphasis on …

[PDF][PDF] Risks, accountability and technology thematic working paper

B Faith, T Roberts, K Hernandez - 2022 - academia.edu
Aid agencies, governments, and donors are expanding investment in digitisation of their
beneficiary identification and registration systems, and remote and algorithmic control of …