--- title: "Nature Machine Intelligence 2018 — papers — Elamur Research" description: "Nature Machine Intelligence 2018 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/nature-machine-intelligence/2018/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/nature-machine-intelligence/2018/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/) / 2018 # Nature Machine Intelligence 2018 — papers The works of Nature Machine Intelligence published in 2018 that our library holds (publisher: Nature Portfolio): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references. [**12** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2018/#works) · [**10,431** citations of these works](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2018/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Designing neural networks through neuroevolution ↗](https://doi.org/10.1038/s42256-018-0006-z)**Kenneth Owen Stanley, Jeff Clune, Joel Lehman et al.*689 citations* 2. **[The need for uncertainty quantification in machine-assisted medical decision making ↗](https://doi.org/10.1038/s42256-018-0004-1)**Edmon Begoli, Tanmoy Bhattacharya A, Dimitri Kusnezov*573 citations* 3. **[Long short-term memory networks in memristor crossbar arrays ↗](https://doi.org/10.1038/s42256-018-0001-4)**Can Li, Zhongrui Wang, Mingyi Rao et al.*400 citations* 4. **[Robots and the return to collaborative intelligence ↗](https://doi.org/10.1038/s42256-018-0008-x)**Ken Y. Goldberg*78 citations* 5. **[Causal deconvolution by algorithmic generative models ↗](https://doi.org/10.1038/s42256-018-0005-0)**Héctor Zenil, Narsis A. Kiani, Allan A. Zea et al.*77 citations* 6. **[Learnability can be undecidable ↗](https://doi.org/10.1038/s42256-018-0002-3)**Shai Ben-David, Pavel Hrubeš, Shay Moran et al.*77 citations* 7. **[Bridging near- and long-term concerns about AI ↗](https://doi.org/10.1038/s42256-018-0003-2)**Stephen Cave, Seán Ó hÉigeartaigh*62 citations* 8. **[A role for analogue memory in AI hardware ↗](https://doi.org/10.1038/s42256-018-0007-y)**Geoffrey W. Burr*22 citations* 9. **[More than machines ↗](https://doi.org/10.1038/s42256-018-0014-z)***11 citations* 10. **[Waking up to data challenges ↗](https://doi.org/10.1038/s42256-018-0011-2)**Yuanfang Guan*5 citations* ## All works of the year (12) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Designing neural networks through neuroevolution ↗](https://doi.org/10.1038/s42256-018-0006-z)**Kenneth Owen Stanley, Jeff Clune, Joel Lehman et al.*689 citations* 2. **[The need for uncertainty quantification in machine-assisted medical decision making ↗](https://doi.org/10.1038/s42256-018-0004-1)**Edmon Begoli, Tanmoy Bhattacharya A, Dimitri Kusnezov*573 citations* 3. **[Long short-term memory networks in memristor crossbar arrays ↗](https://doi.org/10.1038/s42256-018-0001-4)**Can Li, Zhongrui Wang, Mingyi Rao et al.*400 citations* 4. **[Robots and the return to collaborative intelligence ↗](https://doi.org/10.1038/s42256-018-0008-x)**Ken Y. Goldberg*78 citations* 5. **[Causal deconvolution by algorithmic generative models ↗](https://doi.org/10.1038/s42256-018-0005-0)**Héctor Zenil, Narsis A. Kiani, Allan A. Zea et al.*77 citations* 6. **[Learnability can be undecidable ↗](https://doi.org/10.1038/s42256-018-0002-3)**Shai Ben-David, Pavel Hrubeš, Shay Moran et al.*77 citations* 7. **[Bridging near- and long-term concerns about AI ↗](https://doi.org/10.1038/s42256-018-0003-2)**Stephen Cave, Seán Ó hÉigeartaigh*62 citations* 8. **[A role for analogue memory in AI hardware ↗](https://doi.org/10.1038/s42256-018-0007-y)**Geoffrey W. Burr*22 citations* 9. **[More than machines ↗](https://doi.org/10.1038/s42256-018-0014-z)***11 citations* 10. **[Waking up to data challenges ↗](https://doi.org/10.1038/s42256-018-0011-2)**Yuanfang Guan*5 citations* 11. **[Ask this robot for a helping hand ↗](https://doi.org/10.1038/s42256-018-0013-0)**Luke Drnach, Lena H. Ting*3 citations* 12. **[Climbing Mount AI ↗](https://doi.org/10.1038/s42256-018-0012-1)**James V. Stone*1 citation* ## Works with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Cynthia Rudin*2018 · 10,431 citations* ## Fields [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Cynthia Rudin**1 work here · 10,431 citations](https://md.research.elamur.ai/free/en/authors/cynthia-rudin/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Duke University** Durham · United States 1 work here](https://md.research.elamur.ai/free/en/universities/duke-university/) works and citations from OpenAlex and our library. - [next → Nature Machine Intelligence 2023](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/) - [↑ back to Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)