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Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) [article]

Fabian Groh, Patrick Wieschollek, Hendrik P.A. Lensch
<span title="2020-04-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Therefore applying best-practices and design choices from 2D-image learning methods towards processing point clouds are not readily possible.  ...  However, unstructured data like 3D point clouds containing irregular neighborhoods constantly breaks the grid-based data assumption.  ...  Also, these solutions only work on rather small point clouds, still lacking support for processing million-scale point cloud data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.07289v4">arXiv:1803.07289v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3czwn4i4svbhhfma53zdtcjwva">fatcat:3czwn4i4svbhhfma53zdtcjwva</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200417232129/https://arxiv.org/pdf/1803.07289v4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.07289v4" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds [article]

Huan Lei, Naveed Akhtar, Ajmal Mian
<span title="2020-03-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a spherical kernel for efficient graph convolution of 3D point clouds.  ...  data and the latter facilitates fine geometric learning.  ...  on synthetic and large-scale real-world datasets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.09287v2">arXiv:1909.09287v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gettl4nupzexvhz2dh7qrz3yx4">fatcat:gettl4nupzexvhz2dh7qrz3yx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200326022647/https://arxiv.org/pdf/1909.09287v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.09287v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Unsupervised Point Cloud Pre-Training via Occlusion Completion [article]

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
<span title="2021-10-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Learn an encoder-decoder model to reconstruct the occluded points; 3. Use the encoder weights as initialisation for downstream point cloud tasks.  ...  We describe a simple pre-training approach for point clouds. It works in three steps: 1. Mask all points occluded in a camera view; 2.  ...  Flex-convolution (million-scale point-cloud learning beyond grid-worlds). arXiv preprint arXiv:1803.07289, 2018.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.01089v3">arXiv:2010.01089v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hgfahrezi5dqbeqh2txxnwkkmu">fatcat:hgfahrezi5dqbeqh2txxnwkkmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201006002352/https://arxiv.org/pdf/2010.01089v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/a5/82a536924fb3af21de8a31493bce3e9843f51e43.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.01089v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Cross-Shape Graph Convolutional Networks [article]

Dmitry Petrov, Evangelos Kalogerakis
<span title="2020-04-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a method that processes 3D point clouds by performing graph convolution operations across shapes.  ...  To enable this form of non-local, cross-shape graph convolution, our method learns a pairwise point attention mechanism indicating the degree of interaction between points on different shapes.  ...  .: Flex-convolution (million-scale pointcloud learning beyond grid-worlds). In: Asian Conference on Computer Vision (ACCV). (2018) 36.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.09053v3">arXiv:2003.09053v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i5tk3ono5vbx5hsozfnzpz2you">fatcat:i5tk3ono5vbx5hsozfnzpz2you</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200409001202/https://arxiv.org/pdf/2003.09053v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.09053v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Multi-scale Bushfire Detection from Multi-modal Streams of Remote Sensing Data

Thanh Cong Phan, Thanh Tam Nguyen, Thanh Dat Hoang, Quoc Viet Hung Nguyen, Jun Jo
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
It is also robust to the effects of cloud and night-time.  ...  To fulfill this call, we develop a remote sensing framework on top of imagery satellite streams to monitor and detect bushfire timely before beyond control.  ...  Our approach builds a novel deep learning architecture that goes beyond the state-of-the-art deep neural networks by augmenting spectral images with weather data. Problem 1 (Multi-scale prediction).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3046649">doi:10.1109/access.2020.3046649</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pcoyokt6xnaanpphah3vsy7vye">fatcat:pcoyokt6xnaanpphah3vsy7vye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715071354/https://research-repository.griffith.edu.au/bitstream/handle/10072/402241/Phan457156-Published.pdf;jsessionid=97F16632FBC0D3A10E3FA834D13C3AA1?sequence=2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/ce/0ece7fcb8eabf9ee2e8d3bee51900439eccca0c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3046649"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina
<span title="2020-07-07">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hijy7jexkvcipg3tulqv73bck4" style="color: black;">Future Internet</a> </i> &nbsp;
Their ability to go beyond human precision has made these networks a milestone in the history of AI.  ...  In the past, multiple surveys have been reported to provide an overview of different architectures and optimization techniques for efficient execution of Deep Learning (DL) algorithms.  ...  Conclusions The importance and use of Deep Learning have grown dramatically over the past decade. These algorithms have been able to go beyond human accuracy in a short time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/fi12070113">doi:10.3390/fi12070113</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/heyq4l3rkrdc5p55xdbhsh4jxu">fatcat:heyq4l3rkrdc5p55xdbhsh4jxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200716001042/https://res.mdpi.com/d_attachment/futureinternet/futureinternet-12-00113/article_deploy/futureinternet-12-00113-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/12/51120c3562c63b181c44e720a455ecbba1486739.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/fi12070113"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Chasing Carbon: The Elusive Environmental Footprint of Computing [article]

Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
<span title="2020-10-28">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Optimizing for opex-related emissions, cloud providers use machine learning to improve the efficiency of data-center cooling infrastructure [80] .  ...  Beyond carbon emissions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.02839v1">arXiv:2011.02839v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/as2uwcvymncklarrmi3dhzk7b4">fatcat:as2uwcvymncklarrmi3dhzk7b4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108022903/https://arxiv.org/pdf/2011.02839v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/28/292839cb8e5c601be8cd467184939de7873fdd44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.02839v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

D1.1 - State of the Art Analysis

Danilo Ardagna
<span title="2021-06-30">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
We then report an overview of the state-of-the-art of the solutions offered by the main cloud market players and the European providers.  ...  Then, the deliverable provides a background on AI applications design, also considering some advanced design trends (e.g., Network Architecture Search, Federated Learning, Deep Neural Networks partitioning  ...  Convolutional Neural Networks 1 (CNNs)[Goodfellow2016] are feedforward networks specialized in processing data with a grid-like topology, such as image data, which can be thought of as a 2D grid of pixels  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6372377">doi:10.5281/zenodo.6372377</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f6ldfuwivbcltew4smiiwphfty">fatcat:f6ldfuwivbcltew4smiiwphfty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220324081612/https://zenodo.org/record/6372378/files/D1.1%20-%20State%20of%20the%20art%20analysis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/40/2040bd995a83b8a1e0489b0c760316d929314eb2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6372377"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
<span title="2019-09-24">2019</span> <i title="Zenodo"> Zenodo </i> &nbsp;
This approach is also a simple way to generate benchmarking datasets that can be used for testing and validating different algorithms, and for creating additional bigger datasets for large-scale demonstrations  ...  During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3941573">doi:10.5281/zenodo.3941573</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zzifwgljifck5bpjnboetsftfu">fatcat:zzifwgljifck5bpjnboetsftfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200716230745/https://zenodo.org/record/3941573/files/Booklet_ISDE11_final1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/71/1971b6c551d7240ab0752cd63e6787c629544a23.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3941573"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Electric Power Grids Under High-Absenteeism Pandemics: History, Context, Response, and Opportunities

Benjamin Wormuth, Shiyuan Wang, Payman Dehghanian, Masoud Barati, Abouzar Estebsari, Tiago Pascoal Filomena, Mohammad Heidari Kapourchali, Miguel A. Lejeune
<span title="2020-11-30">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
., the so-called pandemics that may travel quickly and silently beyond boundaries, can significantly upsurge the morbidity and mortality over large-scale geographical areas.  ...  This paper explores the various mechanisms through which the electric power grids around the globe are influenced by pandemics in general and COVID-19 in particular, shares the lessons learned and best  ...  The ability for electric utilities to be flexible is going to be crucial in the coming months and years, as the grid is going to be flexed to near its breaking point.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3041247">doi:10.1109/access.2020.3041247</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34786297">pmid:34786297</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8545261/">pmcid:PMC8545261</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ff4wizkuwjadxdbjx6nub2osa4">fatcat:ff4wizkuwjadxdbjx6nub2osa4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429012212/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09272968.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/0e/b00e6d29c972876a4319b11062042f68a8c2aa25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3041247"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545261" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

PeTaL (Periodic Table of Life) and Physiomimetics

Shyam, Friend, Whiteaker, Bense, Dowdall, Boktor, Johny, Reyes, Naser, Sakhamuri, Kravets, Calvin (+6 others)
<span title="2019-08-14">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hlkknrkhkbbsdic5nyr6mc7faq" style="color: black;">Designs</a> </i> &nbsp;
Tools that support PeTaL include machine learning, natural language processing and computer vision.  ...  The overarching philosophy outlined here can be thought of as physiomimetics, a holistic and systematic way of learning from natural history.  ...  We thank Julian Vincent for providing us with a curated set of publications to experiment with for our machine learning algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/designs3030043">doi:10.3390/designs3030043</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/miisa7oznjffro3scgtq5zb4h4">fatcat:miisa7oznjffro3scgtq5zb4h4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211072050/https://res.mdpi.com/d_attachment/designs/designs-03-00043/article_deploy/designs-03-00043-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/96/fe96ace29e6a05f76b262e2f6af7330c0d44d49f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/designs3030043"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

The Habitability of Proxima Centauri b: Environmental States and Observational Discriminants

Victoria S. Meadows, Giada N. Arney, Edward W. Schwieterman, Jacob Lustig-Yaeger, Andrew P. Lincowski, Tyler Robinson, Shawn D. Domagal-Goldman, Russell Deitrick, Rory K. Barnes, David P. Fleming, Rodrigo Luger, Peter E. Driscoll (+2 others)
<span title="">2018</span> <i title="Mary Ann Liebert Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5tlsd5rekrbmvcautayw4dqtai" style="color: black;">Astrobiology</a> </i> &nbsp;
To implement these sulfuric acid cloud decks in our model, we applied a scaling to the Venus cloud model of Crisp (1986) to move the base of the cloud deck to our predicted pressure, shifting the pressures  ...  the top of this grid.  ...  Detecting ocean glint would also be extremely diagnostic for surface water, but is beyond the capabilities of JWST for Proxima Cen b.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1089/ast.2016.1589">doi:10.1089/ast.2016.1589</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29431479">pmid:29431479</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5820795/">pmcid:PMC5820795</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/adrmgwbdhnawrfpqdw5hdhra24">fatcat:adrmgwbdhnawrfpqdw5hdhra24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219194038/http://pdfs.semanticscholar.org/1a67/d41fc9f6423bddd2bb56bd9cc03f0a136903.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/67/1a67d41fc9f6423bddd2bb56bd9cc03f0a136903.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1089/ast.2016.1589"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820795" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

On the Opportunities and Risks of Foundation Models [article]

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch (+102 others)
<span title="2021-08-18">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Though foundation models are based on standard deep learning and transfer learning, their scale results in new emergent capabilities,and their effectiveness across so many tasks incentivizes homogenization  ...  ., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.  ...  Model training has no latency requirements, so training can be moved across energy grids with relative ease in cloud environments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.07258v2">arXiv:2108.07258v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yktkv4diyrgzzfzqlpvaiabc2m">fatcat:yktkv4diyrgzzfzqlpvaiabc2m</a> </span>
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The history of astrometry

Michael Perryman
<span title="">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lmyvvzuhzfckhirapwrpc7axgm" style="color: black;">The European Physical Journal H</a> </i> &nbsp;
Improved star positions progressively opened up and advanced fundamental fields of scientific enquiry, including our understanding of the scale of the solar system, the details of the Earth's motion through  ...  This led to quantifying the extravagantly vast scale of the Universe, to a determination of the physical properties of stars, and to the resulting characterisation of the structure, dynamics and origin  ...  Beyond that, great galaxy clusters stretch out to distances of tens of millions of parsecs or more-their light taking tens of millions of years to reach us.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1140/epjh/e2012-30039-4">doi:10.1140/epjh/e2012-30039-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cm5ertukwbbhrdd4qlr2exluru">fatcat:cm5ertukwbbhrdd4qlr2exluru</a> </span>
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Transdisciplinary consolidation of financial technologies with knowledge systems
Трансдисциплінарна консолідація фінансових технологій із системами знань

Oleksandr LYUBICH, SESE "The Academy of Financial Management", Oleksandr STRYZHAK, SESE "The Academy of Financial Management"
<span title="2021-12-22">2021</span> <i title="State Educational-Scientific Establishment The Academy of Financial Management"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/65ina275gfdz5dkoplooo2qhq4" style="color: black;">Fìnansi Ukraïni</a> </i> &nbsp;
PHOTO BY RAYSONHO @ OPEN GRID SCHEDULER / GRID ENGINE VIA WIKIMEDIA COMMONS was a contributing factor that enabled Wolf to easily secure $5 million of seed money to organize what he called the GMR Consortium  ...  Many interface technologies are now advancing beyond the proof-of-concept stage and nearing a natural point for commercial transition.  ...  Added Kennedy, "Blackjack gets us to a different world where we are no longer risk-averse.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33763/finukr2021.11.054">doi:10.33763/finukr2021.11.054</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/edc3aarta5gq7be2wixkynjz7q">fatcat:edc3aarta5gq7be2wixkynjz7q</a> </span>
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