scholarly journals Will Machines Replace Us? Machine-Authored Texts and the Future of Scholarship

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Benjamin Alarie ◽  
Arthur Cockfield

We present here the first machine-generated law review article. Our self-interest motivates us to believe that knowledge workers who write complex articles drawing upon years of research and effort are safe from AI developments. However, how reasonable is it to persist in this belief given recent advances in AI research? With that topic in mind, we caused GPT-3, a state-of-the-art AI, to generate a paper that explains “why humans will always be better lawyers, drivers, CEOs, presidents, and law professors than artificial intelligence and robots can ever hope to be.” The resulting paper, with no edits apart from giving it a title and bolding the headings generated by GPT-3, is reproduced below. It is imperfect in a humorous way. Ironically, it is publishable “as-is” only because it is machine-generated. Nevertheless, the resulting paper is good enough to give us some pause for thought. Although GPT-3 is not up to the task of replacing law review authors currently, we are far less confident that GPT-5 or GPT-100 might not be up to the task in future.

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Maria Kyrarini ◽  
Fotios Lygerakis ◽  
Akilesh Rajavenkatanarayanan ◽  
Christos Sevastopoulos ◽  
Harish Ram Nambiappan ◽  
...  

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assisting robots. The paper also discusses the open challenges healthcare robots face to be integrated into our society.


Author(s):  
Mauro Vallati ◽  
Lukáš Chrpa ◽  
Thomas L. Mccluskey

AbstractThe International Planning Competition (IPC) is a prominent event of the artificial intelligence planning community that has been organized since 1998; it aims at fostering the development and comparison of planning approaches, assessing the state-of-the-art in planning and identifying new challenging benchmarks. IPC has a strong impact also outside the planning community, by providing a large number of ready-to-use planning engines and testing pioneering applications of planning techniques.This paper focusses on the deterministic part of IPC 2014, and describes format, participants, benchmarks as well as a thorough analysis of the results. Generally, results of the competition indicates some significant progress, but they also highlight issues and challenges that the planning community will have to face in the future.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Noam Attias ◽  
Achiya Livne ◽  
Tiffany Abitbol

AbstractMaterial development based on fungal mycelium is a fast-rising field of study as researchers, industry, and society actively search for new sustainable materials to address contemporary material challenges. The compelling potential of fungal mycelium materials is currently being explored in relation to various applications, including construction, packaging, “meatless” meat, and leather-like textiles. Here, we highlight the discussions and outcomes from a recent 1-day conference on the topic of fungal mycelium materials (“Fungal Mycelium Materials Mini Meeting”), where a group of researchers from diverse academic disciplines met to discuss the current state of the art, their visions for the future of the material, and thoughts on the challenges surrounding widescale implementation.


2020 ◽  
Vol 21 (3) ◽  
pp. 1124 ◽  
Author(s):  
Ueda ◽  
Kaji ◽  
Kozaki

Lipid-derived plant hormone jasmonates are implicated in plant growth, reproductive performance, senescence, secondary metabolite productions, and defense against both necrotrophic pathogens and feeding insects. A major jasmonate is (+)-7-iso-jasmonoyl-l-isoleucine (JA-Ile), which is perceived by the unique COI1-JAZ coreceptor system. Recent advances in plant chemical biology have greatly informed the bioscience of jasmonate, including the development of chemical tools such as the antagonist COR-MO; the agonist NOPh; and newly developed jasmonates, including JA-Ile-macrolactone and 12-OH-JA-Ile. This review article summarizes the current status of plant chemical biology as it pertains to jasmonates, and offers some perspectives for the future.


2020 ◽  
Vol 11 (SPL3) ◽  
pp. 250-255
Author(s):  
Pravalika ◽  
Yuvaraj Babu K ◽  
Gifrina Jayaraj

This review article is based on improving knowledge on gene therapy which treats many neurological disorders. 150 articles were obtained, and 36 articles were filtered. Gene therapy is one of the most important treatments in the future as well as in the present. It has high chances of reducing many disorders . Many neurological disorders have been cured, but still many more researches are being done to express the potential of gene therapy to its maximum. Gene therapy improves the motor system in mouse models. Few neurological disorders that can be treated are Alzheimer's disease and Parkinson's disease. This review is an attempt to update recent advances in gene therapy.


2017 ◽  
Vol 16 (4) ◽  
pp. 26
Author(s):  
Norbert Bátfai ◽  
Márió Bersenszki ◽  
Miklós Lukács ◽  
Renátó Besenczi ◽  
Gergő Bogacsovics ◽  
...  

Jelen közlemény célkitűzése egyrészt az e-sport adott vertikális területei státuszának rövid áttekintése az interdiszciplináris, tudományos kutatás szempontjából, másrészt az e-sport és a mesterséges intelligencia kutatások kapcsolatának vizsgálata, különös tekintettel a lehetséges kutatási kitörési pontok feltárására. Az eredmények a fejlesztendő Entrópia Samu című új e-sport projekt zászlaja alatt kerülnek bemutatásra. A közlemény külön kitér az egyetemi közegben alapítandó e-sport csapatokkal kapcsolatban felmerülő kérdésekre. A munka végső tézise, hogy a jövő programozása nem egyéni fejlesztőkön, hanem tömegek e-sportolásán alapszik majd. --- The Common Future of E-sport and Robopsychology The objective of this paper is twofold. Firstly, a short survey is provided on the state of the art of some specialized areas of e-sport from an interdisciplinary research perspective. Secondly, the link between e-sport and artificial intelligence is investigated in order to identify possible breakout points. The results are presented within the framework of the new e-sport project to be created under the name Samu Entropy. The overall thesis of this paper is that the programming of the future will be based on the mass sport of gamer fans rather than individual developers.


Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.


2021 ◽  
pp. 131-146
Author(s):  
Bruce A. Swett ◽  
Erin N. Hahn ◽  
Ashley J. Llorens

AbstractThere is currently a global arms race for the development of artificial intelligence (AI) and unmanned robotic systems that are empowered by AI (AI-robots). This paper examines the current use of AI-robots on the battlefield and offers a framework for understanding AI and AI-robots. It examines the limitations and risks of AI-robots on the battlefield and posits the future direction of battlefield AI-robots. It then presents research performed at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) related to the development, testing, and control of AI-robots, as well as JHU/APL work on human trust of autonomy and developing self-regulating and ethical robotic systems. Finally, it examines multiple possible future paths for the relationship between humans and AI-robots.


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