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ORCIDNature Machine Intelligence, Volume 1
Volume 1, Number 1, January 2019
- More than machines. 1
- Ken Goldberg
:
Robots and the return to collaborative intelligence. 2-4 - Stephen Cave, Seán S. ÓhÉigeartaigh:
Bridging near- and long-term concerns about AI. 5-6 - James V. Stone:
Climbing Mount AI. 7 - Luke Drnach, Lena H. Ting:
Ask this robot for a helping hand. 8-9 - Geoffrey W. Burr:
A role for analogue memory in AI hardware. 10-11 - David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. 12-19 - Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov:
The need for uncertainty quantification in machine-assisted medical decision making. 20-23 - Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. 24-35 - Yanan Li, Gerolamo Carboni, Franck Gonzalez, Domenico Campolo, Etienne Burdet:
Differential game theory for versatile physical human-robot interaction. 36-43 - Shai Ben-David, Pavel Hrubes, Shay Moran, Amir Shpilka, Amir Yehudayoff:
Learnability can be undecidable. 44-48 - Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia:
Long short-term memory networks in memristor crossbar arrays. 49-57 - Hector Zenil, Narsis Aftab Kiani, Allan A. Zea, Jesper Tegnér:
Causal deconvolution by algorithmic generative models. 58-66 - Yuanfang Guan:
Waking up to data challenges. 67
Volume 1, Number 2, February 2019
- A web of tidings. 69
- Shannon Wongvibulsin:
Educational strategies to foster diversity and inclusion in machine intelligence. 70-71 - Oliver R. Wearn, Robin Freeman, David M. P. Jacoby:
Responsible AI for conservation. 72-73 - Stephen Cave, Kanta Dihal:
Hopes and fears for intelligent machines in fiction and reality. 74-78 - Morgan R. Frank, Dashun Wang, Manuel Cebrián, Iyad Rahwan:
The evolution of citation graphs in artificial intelligence research. 79-85 - William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Training deep neural networks for binary communication with the Whetstone method. 86-94 - Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan, Carlo Biffi, Antonio de Marvao, Luke S. G. E. Howard, J. Simon R. Gibbs, Martin R. Wilkins, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan:
Deep-learning cardiac motion analysis for human survival prediction. 95-104 - Anvita Gupta, James Zou:
Feedback GAN for DNA optimizes protein functions. 105-111 - Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Kuang-Yu Jen, Pinaki Sarder:
An integrated iterative annotation technique for easing neural network training in medical image analysis. 112-119 - Thomas D. Kitching:
A galaxy of data challenges. 120 - Shai Ben-David, Pavel Hrubes, Shay Moran, Amir Shpilka, Amir Yehudayoff:
Author Correction: Learnability can be undecidable. 121
Volume 1, Number 3, March 2019
- Poised for action. 123
- Jeremy Hsu:
Machines on mission possible. 124-127 - Gisbert Schneider:
Mind and machine in drug design. 128-130 - Yann Sweeney:
Descent into the unknown. 131-132 - Emre O. Neftci, Bruno B. Averbeck:
Reinforcement learning in artificial and biological systems. 133-143 - Ali Marjaninejad, Darío Urbina-Meléndez, Brian A. Cohn, Francisco J. Valero Cuevas:
Autonomous functional movements in a tendon-driven limb via limited experience. 144-154 - Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Reconstructing quantum states with generative models. 155-161 - Jürgen Leitner:
Picking the right robotics challenge. 162
Volume 1, Number 4, April 2019
- Shared, but not up for grabs. 163
- Aníbal Monasterio Astobiza, Mario Toboso, Manuel Aparicio, Txetxu Ausín, Daniel López, Ricardo Morte, José Luis Pons:
Bringing inclusivity to robotics with INBOTS. 164 - Henry Shevlin, Marta Halina:
Apply rich psychological terms in AI with care. 165-167 - Marco Lippi, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
Consumer protection requires artificial intelligence. 168-169 - Mary Ellen Foster:
From clockwork automata to robot newsreaders. 170-171 - José Hernández-Orallo:
Gazing into Clever Hans machines. 172-173 - Alexander S. Rich, Todd M. Gureckis:
Lessons for artificial intelligence from the study of natural stupidity. 174-180 - Matteo Manica, Roland Mathis, Joris Cadow, María Rodríguez Martínez:
Context-specific interaction networks from vector representation of words. 181-190 - Tian Tian, Ji Wan, Qi Song, Zhi Wei:
Clustering single-cell RNA-seq data with a model-based deep learning approach. 191-198 - Yung-Hsiang Lu:
Low-power image recognition. 199 - Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Author Correction: Reconstructing quantum states with generative models. 200
Volume 1, Number 5, May 2019
- A prize for discoveries past, present and future. 201
- Jack Stilgoe:
Self-driving cars will take a while to get right. 202-203 - Blake A. Richards:
Moving beyond reward prediction errors. 204-205 - Cynthia Rudin:
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. 206-215 - Michael Krieg, Kevin Nelson, Kamran Mohseni:
Distributed sensing for fluid disturbance compensation and motion control of intelligent robots. 216-224 - Julius Upmeier zu Belzen, Thore Bürgel, Stefan Holderbach, Felix Bubeck, Lukás Adam, Catharina Gandor, Marita Klein, Jan Mathony, Pauline Pfuderer, Lukas Platz, Moritz Przybilla, Max Schwendemann, Daniel Heid, Mareike Daniela Hoffmann, Michael Jendrusch, Carolin Schmelas, Max Waldhauer, Irina Lehmann, Dominik Niopek, Roland Eils:
Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins. 225-235 - Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. 236-245 - Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Evaluation of deep learning in non-coding RNA classification. 246-256 - Matthew Crosby, Benjamin Beyret, Marta Halina:
The Animal-AI Olympics. 257
Volume 1, Number 6, June 2019
- Robotics and the art of science. 259
- Mattia Prosperi, Jiang Bian:
Is it time to rethink institutional review boards for the era of big data? 260 - Luciano Floridi:
Establishing the rules for building trustworthy AI. 261-262 - Signe A. Redfield:
A definition for robotics as an academic discipline. 263-264 - Liesbeth Venema:
Code of conduct for using AI in healthcare. 265-266 - Trenton A. Jerde:
Talking artificial intelligence. 267-268 - Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang:
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. 269-276 - Asim Iqbal, Romesa Khan, Theofanis Karayannis:
Developing a brain atlas through deep learning. 277-287 - David Rousseau:
Connecting the dots in high-energy physics. 288 - Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. 289 - Julius Upmeier zu Belzen, Thore Bürgel, Stefan Holderbach, Felix Bubeck, Lukás Adam, Catharina Gandor, Marita Klein, Jan Mathony, Pauline Pfuderer, Lukas Platz, Moritz Przybilla, Max Schwendemann, Daniel Heid, Mareike Daniela Hoffmann, Michael Jendrusch, Carolin Schmelas, Max Waldhauer, Irina Lehmann, Dominik Niopek, Roland Eils:
Publisher Correction: Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins. 290
Volume 1, Number 7, July 2019
- Time to face decisions. 291
- Yann Sweeney, Jacob Huth:
Rewiring art. 292-293 - Anil Seth:
Too many ghosts in the machine. 294-295 - Danilo Bzdok, Thomas E. Nichols, Stephen M. Smith:
Towards algorithmic analytics for large-scale datasets. 296-306 - Alexander Button, Daniel Merk, Jan A. Hiss, Gisbert Schneider:
Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis. 307-315 - Kevin Faust, Sudarshan Bala, Randy van Ommeren, Alessia Portante, Raniah Al Qawahmed, Ugljesa Djuric, Phedias Diamandis:
Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning. 316-321 - Tatsuro Kawamoto, Takaaki Aoki:
Democratic classification of free-format survey responses with a network-based framework. 322-327 - Jochen Renz, Xiaoyu Ge, Matthew Stephenson, Peng Zhang:
AI meets Angry Birds. 328
Volume 1, Number 8, August 2019
- Sharing high expectations. 329
- Mona Sloane, Emanuel Moss:
AI's social sciences deficit. 330-331 - Irakli Beridze, James Butcher:
When seeing is no longer believing. 332-334 - Indre Zliobaite:
AI minds need to think about energy constraints. 335 - Guo-Wei Wei:
Protein structure prediction beyond AlphaFold. 336-337 - Helmut Hauser:
Resilient machines through adaptive morphology. 338-339 - Valerio Ortenzi, Marco Controzzi, Francesca Cini, Jürgen Leitner, Matteo Bianchi, Máximo A. Roa, Peter Corke:
Robotic manipulation and the role of the task in the metric of success. 340-346 - Tong Wang, Yanhua Qiao, Wenze Ding, Wenzhi Mao, Yaoqi Zhou, Haipeng Gong:
Improved fragment sampling for ab initio protein structure prediction using deep neural networks. 347-355 - Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi:
Solving the Rubik's cube with deep reinforcement learning and search. 356-363 - Guanxiong Zeng, Yang Chen, Bo Cui, Shan Yu:
Continual learning of context-dependent processing in neural networks. 364-372 - Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with known operators reduces maximum error bounds. 373-380 - Liesbeth Venema:
Robotics on a mission. 381 - Tatsuro Kawamoto, Takaaki Aoki:
Author Correction: Democratic classification of free-format survey responses with a network-based framework. 382 - Tatsuro Kawamoto, Takaaki Aoki:
Publisher Correction: Democratic classification of free-format survey responses with a network-based framework. 383 - Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. 384
Volume 1, Number 9, September 2019
- Return of cybernetics. 385
- Mike Davies:
Benchmarks for progress in neuromorphic computing. 386-388 - Anna Jobin, Marcello Ienca, Effy Vayena:
The global landscape of AI ethics guidelines. 389-399 - Katie Z. Zhuang, Nicolas Sommer, Vincent Mendez, Saurav Aryan, Emanuele Formento, Edoardo D'Anna, Fiorenzo Artoni, Francesco M. Petrini, Giuseppe Granata, Giovanni Cannaviello, Wassim Raffoul, Aude Billard, Silvestro Micera:
Shared human-robot proportional control of a dexterous myoelectric prosthesis. 400-411 - Musa Mahmood, Deogratias Mzurikwao, Yun-Soung Kim, Yongkuk Lee, Saswat Mishra, Robert Herbert, Audrey Duarte, Chee Siang Ang, Woon-Hong Yeo:
Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm. 412-422 - Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi, Nicola Quercioli:
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning. 423-433 - Zhongrui Wang, Can Li, Peng Lin, Mingyi Rao, Yongyang Nie, Wenhao Song, Qinru Qiu, Yunning Li, Peng Yan, John Paul Strachan, Ning Ge, Nathan McDonald, Qing Wu, Miao Hu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang:
In situ training of feed-forward and recurrent convolutional memristor networks. 434-442 - Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke:
A probabilistic challenge for object detection. 443
Volume 1, Number 10, October 2019
- Of conferences and conversations in AI. 445
- Kingson Man, Antonio Damasio:
Homeostasis and soft robotics in the design of feeling machines. 446-452 - Neda Davoudi, Xosé-Luís Dean-Ben, Daniel Razansky:
Deep learning optoacoustic tomography with sparse data. 453-460 - Stephan J. Ihle, Andreas Michael Reichmuth, Sophie Girardin, Hana Han, Flurin Stauffer, Anne Bonnin, Marco Stampanoni, Karthik Pattisapu, János Vörös, Csaba Forró:
Unsupervised data to content transformation with histogram-matching cycle-consistent generative adversarial networks. 461-470 - Jonathan P. Mailoa, Mordechai Kornbluth, Simon L. Batzner, Georgy Samsonidze, Stephen T. Lam, Jonathan Vandermause, Chris Ablitt, Nicola Molinari, Boris Kozinsky:
A fast neural network approach for direct covariant forces prediction in complex multi-element extended systems. 471-479 - Hao Tang, Xuming Chen, Yang Liu, Zhipeng Lu, Junhua You, Mingzhou Yang, Shengyu Yao, Guoqi Zhao, Yi Xu, Tingfeng Chen, Yong Liu, Xiaohui Xie:
Clinically applicable deep learning framework for organs at risk delineation in CT images. 480-491 - Sam Kriegman:
Why virtual creatures matter. 492
Volume 1, Number 11, November 2019
- Deceiving possibilities. 493
- Miguel A. Luengo-Oroz:
Solidarity should be a core ethical principle of AI. 494 - Marta R. Costa-jussà:
An analysis of gender bias studies in natural language processing. 495-496 - Michael Rovatsos:
We may not cooperate with friendly machines. 497-498 - Gean Trindade Pereira, André C. P. L. F. de Carvalho:
Bringing robustness against adversarial attacks. 499-500 - Brent D. Mittelstadt:
Principles alone cannot guarantee ethical AI. 501-507 - Walt Woods, Jack Chen, Christof Teuscher:
Adversarial explanations for understanding image classification decisions and improved neural network robustness. 508-516 - Fatimah Ishowo-Oloko, Jean-François Bonnefon, Zakariyah Shoroye, Jacob W. Crandall, Iyad Rahwan, Talal Rahwan:
Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation. 517-521 - Matthew Q. Hill, Connor J. Parde, Carlos Domingo Castillo, Y. Ivette Colón, Rajeev Ranjan, Jun-Cheng Chen, Volker Blanz, Alice J. O'Toole:
Deep convolutional neural networks in the face of caricature. 522-529 - Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Human action recognition with a large-scale brain-inspired photonic computer. 530-537 - Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr:
Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks. 538-544 - Jacob Huth:
Taking robots shopping. 545
Volume 1, Number 12, December 2019
- A voice for tech workers. 547
- Valentin Robu, David Flynn, Merlinda Andoni, Maizura Mokhtar:
Consider ethical and social challenges in smart grid research. 548-550 - Kathy Lüdge, André Röhm:
Computing with a camera. 551-552 - Yuan Liu, Chu Wang:
Predicting cracks in metalloproteins. 553-554 - Samuel M. Felton:
Origami for the everyday. 555-556 - Mariarosaria Taddeo, Tom McCutcheon, Luciano Floridi:
Trusting artificial intelligence in cybersecurity is a double-edged sword. 557-560 - Mohamad Koohi-Moghadam, Haibo Wang, Yuchuan Wang, Xinming Yang, Hongyan Li, Junwen Wang, Hongzhe Sun:
Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach. 561-567 - Aleksandr Ianevski, Anil K. Giri, Prson Gautam, Alexander Kononov, Potdar Swapnil, Saarela Jani, Krister Wennerberg, Tero Aittokallio:
Prediction of drug combination effects with a minimal set of experiments. 568-577 - Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel:
Automated abnormality detection in lower extremity radiographs using deep learning. 578-583 - Stefano Mintchev, Marco Salerno, Alexandre Cherpillod, Simone Scaduto, Jamie Paik:
A portable three-degrees-of-freedom force feedback origami robot for human-robot interactions. 584-593 - Alessandro G. Di Nuovo, James L. McClelland:
Developing the knowledge of number digits in a child-like robot. 594-605 - Martin Gerlach, Hanyu Shi, Luís A. Nunes Amaral:
A universal information theoretic approach to the identification of stopwords. 606-612 - Radoslaw Martin Cichy, Gemma Roig, Aude Oliva:
The Algonauts Project. 613
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