scholarly journals Metamaterials-Enabled Sensing for Human-Machine Interfacing

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 161
Author(s):  
Fei Li ◽  
Run Hu
Keyword(s):  
State Of The Art ◽  
Recent Decade ◽  
High Accuracy ◽  
Electric Machines ◽  
Future Directions ◽  
Daily Lives ◽  
The Future ◽  
Working Principle ◽  
Very High ◽  
The Way

Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and only when the machines can sense the ambient through various signals, they can respond to human commands for finishing desired tasks. Metamaterials have offered a great platform to develop the sensing materials and devices from different disciplines with very high accuracy, thus enabling the great potential for HMI applications. For this regard, significant progresses have been achieved in the recent decade, but haven’t been reviewed systematically yet. In the Review, we introduce the working principle, state-of-the-art sensing metamaterials, and the corresponding enabled HMI applications. For practical HMI applications, four kinds of signals are usually used, i.e., light, heat, sound, and force, and therefore the progresses in these four aspects are discussed in particular. Finally, the future directions for the metamaterials-based HMI applications are outlined and discussed.

Objections and Anxieties

2015 ◽  
Author(s):  
Richard Susskind ◽  
Daniel Susskind
Keyword(s):  
Big Bang ◽  
Professional Society ◽  
Industrial Society ◽  
Daily Lives ◽  
The Future ◽  
Specialist Knowledge ◽  
Evolutionary Progression ◽  
The Way

We surface now from our theorizing in Part II to address more practical matters. Roughly speaking, the story so far is this—the professions are our current solution to a pervasive problem, namely, that none of us has sufficient specialist knowledge to allow us to cope with all the challenges that life throws at us. We have limited understanding, and so we turn to doctors, lawyers, teachers, architects, and other professionals because they have ‘practical expertise’ that we need to bring to bear in our daily lives. In a print-based industrial society, we have interposed the professions, as gatekeepers, between individuals and organizations and the knowledge and experience to which they need access. In the first two parts of the book we describe the changes taking place within the professions, and we develop various theories (largely technological and economic) that lead us to conclude that, in the future—in the fully fledged, technology-based Internet society—increasingly capable machines, autonomously or with non-specialist users, will take on many of the tasks that currently are the exclusive realm of the professions. While we do not anticipate an overnight, big-bang revolution, equally we do not expect a leisurely evolutionary progression into the post-professional society. Instead, we predict what we call an ‘incremental transformation’ in the way in which we organize and share expertise in society, a displacement of the traditional professions in a staggered series of steps and bounds. Although the change will come in increments, its eventual impact will be radical and pervasive. Our personal inclination, articulated at greater length in the Conclusion, is to be strongly sympathetic to this transformation. Our professions are creaking—they are increasingly unaffordable and inaccessible, and suffer from numerous other defects besides, as we describe in section 1.7. Change is long overdue. In conversation with mainstream professionals, in response to our thinking, two words in juxtaposition are uttered again and again—‘yes but . . . ’. Sometimes, what then follows is the special pleading that we note in section 1.9—professionals argue that our thinking applies to all professions other than their own.

State of the art on the way to the future

2015 ◽  
Vol 12 (3) ◽  
pp. 20-25
Author(s):  
Hartmut Henneken ◽  
Ingo Horsthemke
Keyword(s):  
State Of The Art ◽  
The Future ◽  
The Way

Hey Siri, tell me a story: Digital storytelling and AI authorship

2020 ◽  
Vol 26 (4) ◽  
pp. 808-823
Author(s):  
Sarah Thorne
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
News Media ◽  
Future Directions ◽  
Daily Lives ◽  
Short Films ◽  
The Future ◽  
Commercial Applications ◽  
New Applications ◽  
Applications Of Ai

Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.

STATE-OF-THE-ART OF CLOUD COMPUTING ADOPTION IN MALAYSIA: A REVIEW

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Hanifah Abdul Hamid ◽  
Mokhtar Mohd Yusof
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
State Of The Art ◽  
National Level ◽  
Research Direction ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Security Challenges ◽  
The Future ◽  
The Way

Cloud computing has made a significant transformation of information technology environment as well as the way the business is conducted in any organizations. While its advantages are obvious, its challenges need to be clearly addressed to ensure successful adoption. This article provides an insights of cloud computing adoption in Malaysia at the national level as well as a review of cloud adoption from various fields and domains in Malaysia which led to research direction in the future. Malaysia is being dedicated towards cloud adoption nationally, and keep its good progress to equip itself as a cloud-friendly country. However, security challenges seem to slow down the effort, thus these need to be dealt with properly. 

Collaborative Filtering Based Recommendation Systems

2010 ◽  
pp. 708-723
Author(s):  
E. Thirumaran
Keyword(s):  
Collaborative Filtering ◽  
False Positive ◽  
Recommendation Systems ◽  
High Accuracy ◽  
Future Directions ◽  
The Future

This chapter introduces Collaborative filtering-based recommendation systems, which has become an integral part of E-commerce applications, as can be observed in sites like Amazon.com. It will present several techniques that are reported in the literature to make useful recommendations, and study their limitations. The chapter also lists the issues that are currently open and the future directions that may be explored to address those issues. Furthermore, the authors hope that understanding of these limitations and issues will help build recommendation systems that are of high accuracy and have few false positive errors (which are products that are recommended, though the user does not like them).

Future Directions for Ion Beam Technology and Research: Forum Report

2011 ◽  
Vol 1354 ◽  
Author(s):  
John E.E. Baglin ◽  
Daryush Ila
Keyword(s):  
State Of The Art ◽  
Ion Beam ◽  
Ion Beams ◽  
High Impact ◽  
Global Community ◽  
Future Directions ◽  
Current State ◽  
Remarkable Degree ◽  
The Future ◽  
Materials Research

ABSTRACTAs an integral part of the Symposium on "Ion Beams - Applications from Nanoscale to Mesoscale" at the MRS Spring 2011 Meeting, participants were invited to join two open “brainstorming” Forum Discussions, intended to highlight opportunities for application of ion beam techniques in advancing the frontiers of materials research and making high impact contributions to solving some of the world’s major issues for the future. Participants were invited to imagine freely how the field might develop (or be steered) in the next 5-10 years, in the light of the current state of the art, and in the light of the emerging needs of the global community.The resulting ideas and suggestions led to thoughtful discussions, that displayed a remarkable degree of consensus on future directions, opportunities and challenges for the field. This paper attempts to capture and report briefly the spectrum of ideas and the recommended priorities that emerged from the resulting discussions.

MLCT sensitizers in photochemical upconversion: past, present, and potential future directions

2015 ◽  
Vol 44 (41) ◽  
pp. 17906-17910 ◽  
Author(s):  
Felix N. Castellano ◽  
Catherine E. McCusker
Keyword(s):  
Historical Development ◽  
State Of The Art ◽  
Future Directions ◽  
Current State ◽  
The Future

This frontier presentation highlights the historical development of MLCT sensitizers in photochemical upconversion while indentifying current state-of-the-art and exciting opportunities in this arena moving towards the future.

scholarly journals Monitoring tools for the CMS muon detector: present workflows and future automation

2019 ◽  
Vol 214 ◽  
pp. 06001
Author(s):  
Cesare Calabria
Keyword(s):  
Human Resources ◽  
State Of The Art ◽  
Statistical Tests ◽  
Machine Learning Algorithms ◽  
Muon Detector ◽  
Monitoring Tools ◽  
The Future ◽  
High Fraction ◽  
Very High ◽  
Modern Machine

The CMS Muon System has been operated successfully during the two LHC runs allowing to collect a very high fraction of data with a quality that fulfils the requirements to be used for physics analysis. Nevertheless, the workflows used nowadays to operate and monitor the detector are rather expensive in terms of human resources. Focus is therefore being put on improving such workflows, both by applying automated statistical tests and exploiting modern machine learning algorithms, in view of the future LHC runs. The ecosystem of tools presently in use will be presented, together with the state of the art of the developments toward more automatized monitoring and the roadmap for the future.

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