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Showing 1–19 of 19 results
Advanced filters: Author: Asaf Tzachor Clear advanced filters

  • We invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about the challenges of 2020, and what they look forward to in 2021.

    • Anna Jobin
    • Kingson Man
    • Miguel Luengo-Oroz
    Special Features
    Nature Machine Intelligence
    Volume: 3, P: 2-8

  • Submarine communication cables are central to the exchange of international data, but the vulnerability of the architecture has become increasingly apparent in recent years. The development of a diversified global communications infrastructure is now essential.

    • Asaf Tzachor
    Comments & Opinion
    Nature Electronics
    Volume: 8, P: 635-638

  • Generative artificial intelligence (GAI) is driving a surge in e-waste due to intensive computational infrastructure needs. This study emphasizes the necessity for proactive implementation of circular economy practices throughout GAI value chains.

    • Peng Wang
    • Ling-Yu Zhang
    • Wei-Qiang Chen
    Research
    Nature Computational Science
    Volume: 4, P: 818-823

  • Africa is disproportionately exposed to catastrophic climate, hydrological and meteorological risks. Well-funded weather monitoring, nowcasting and early-warning systems must become a priority.

    • Asaf Tzachor
    • Catherine E. Richards
    • Amadou T. Gaye
    Comments & Opinion
    Nature
    Volume: 620, P: 488-491

  • Innovation in pesticide application is urgently needed. However, recent approaches, such as employing full-service pesticide contractors or utilizing artificial intelligence for pest control, may prioritize economic and production outcomes over environmental protection and public health. Here, we explore these propositions, their associated risks, and suggest a pathway for sustainable, risk-reduced pesticide decisions.

    • Tobias Dalhaus
    • Robert Finger
    • Niklas Möhring
    Comments & Opinion
    Nature Food
    Volume: 5, P: 969-971

  • Machine learning applications in agriculture can bring many benefits in crop management and productivity. However, to avoid harmful effects of a new round of technological modernization, fuelled by AI, a thorough risk assessment is required, to review and mitigate risks such as unintended socio-ecological consequences and security concerns associated with applying machine learning models at scale.

    • Asaf Tzachor
    • Medha Devare
    • Seán Ó hÉigeartaigh
    Reviews
    Nature Machine Intelligence
    Volume: 4, P: 104-109

  • Conventional farming systems are susceptible to various sources of stress, but microalgae, mycoprotein and mealworm can offer healthy and more sustainable diets. This study highlights what makes future foods farming systems resilient and how to unlock their potential.

    • Asaf Tzachor
    • Catherine E. Richards
    • Lauren Holt
    Reviews
    Nature Food
    Volume: 2, P: 326-329

  • With rapidly increasing urbanization, a substantial portion of global freshwater is used for the manufacture of construction materials, such as steel and cement. This threatens to intensify competition over the allocation of blue water (from lakes, rivers and aquifers). However, much less attention has been paid to the virtual water content of materials, and the water–materials nexus.

    • Asaf Tzachor
    • Heming Wang
    • Catherine E. Richards
    Comments & Opinion
    Nature Water
    Volume: 2, P: 4-7

  • Substituting animal-source foods with novel and future foods in our daily diets is essential to mitigate global environmental change. An integrated statistical approach and optimization model support a shift to alternative, more sustainable diets.

    • Asaf Tzachor
    News & Views
    Nature Food
    Volume: 3, P: 247-248

  • The increasing use of manufactured sand in China since 2010 has greatly reduced the proportion of natural sand in the country’s total sand supply, from 80% in 1995 to 21% in 2020, according to a material flow analysis of sand in China.

    • Heming Wang
    • Peng Wang
    • Yong-Guan Zhu
    Research
    Nature Geoscience
    Volume: 17, P: 833-836

  • Globalisation supports the clustering of critical infrastructure systems, sometimes in proximity to lower-magnitude (VEI 3–6) volcanic centres. In this emerging risk landscape, moderate volcanic eruptions might have cascading, catastrophic effects. Risk assessments ought to be considered in this light.

    • Lara Mani
    • Asaf Tzachor
    • Paul Cole
    Comments & OpinionOpen Access
    Nature Communications
    Volume: 12, P: 1-5

  • Artificial intelligence tools can help save lives in a pandemic. However, the need to implement technological solutions rapidly raises challenging ethical issues. We need new approaches for ethics with urgency, to ensure AI can be safely and beneficially used in the COVID-19 response and beyond.

    • Asaf Tzachor
    • Jess Whittlestone
    • Seán Ó hÉigeartaigh
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 2, P: 365-366

  • Producing goods, such as foods and fuels, with minimal environmental impacts is urgently needed. Although advances in bioproduction are promising, there is often a noticeable gap in our understanding of whether and where new processes can compete with existing methods on an economic and environmental basis. Transparent lower bound calculations from basic principles highlight potential benefits of producing foods, but not fuels, from electro-microbial production of biomass.

    • Samuel J. Lovat
    • Roee Ben-Nissan
    • Ron Milo
    Comments & Opinion
    Nature Biotechnology
    Volume: 43, P: 848-853

  • In this Perspective, the authors survey potential water-system-wide benefits of AI applications from catchments to end-users and then highlight potential systemic barriers, direct risks and exposures to cascading failures, which may prove catastrophic for communities. In response, they make three recommendations for safe and responsible deployment of AI across potable water supply and sewage disposal systems.

    • Catherine E. Richards
    • Asaf Tzachor
    • Richard Fenner
    Reviews
    Nature Water
    Volume: 1, P: 422-432

  • Little is known about the potential of digital twins in the pursuit of sustainability. This study examines the likely benefits of digital twins in urban sustainability paradigms, their limitations when modelling socio-technical and socio-ecological systems and possible ways to attenuate them.

    • Asaf Tzachor
    • Soheil Sabri
    • Michele Acuto
    Reviews
    Nature Sustainability
    Volume: 5, P: 822-829

  • Digital twins can transform agricultural production systems and supply chains, curbing greenhouse gas emissions, food waste and malnutrition. However, the potential of these advanced virtualization technologies is yet to be realized. Here, we consider the promise of digital twins across six typical agrifood supply chain steps and emphasize key implementation barriers.

    • Asaf Tzachor
    • Catherine E. Richards
    • Scott Jeen
    Comments & OpinionOpen Access
    npj Science of Food
    Volume: 6, P: 1-5