scholarly journals Wisdom of the Crowd as Arbiter of Expert Disagreement

2021 ◽  
Author(s):  
Michael Page
Keyword(s):  
State Of The Art ◽  
Silicon Valley ◽  
Probabilistic Forecasting ◽  
The Future

How can state-of-the-art probabilistic forecasting tools be used to advance expert debates on big policy questions? Using Foretell, a crowd forecasting platform piloted by CSET, we trialed a method to break down a big question—”What is the future of the DOD-Silicon Valley relationship?”—into measurable components, and then leveraged the wisdom of the crowd to reduce uncertainty and arbitrate disagreement among a group of experts.

scholarly journals Percutaneous Mitral Edge-to-Edge Repair: State of the Art and a Glimpse to the Future

2019 ◽  
Vol 6 ◽  
Author(s):  
Faisal Khan ◽  
Mirjam Winkel ◽  
Geraldine Ong ◽  
Nicolas Brugger ◽  
Thomas Pilgrim ◽  
...  
Keyword(s):  
State Of The Art ◽  
The Future

scholarly journals Grasping Assisting Algorithm in Tele-Operated Robotic Gripper

2021 ◽  
Vol 11 (6) ◽  
pp. 2640
Author(s):  
Tomer Fine ◽  
Guy Zaidner ◽  
Amir Shapiro
Keyword(s):  
State Of The Art ◽  
Human Subjects ◽  
Quality Measures ◽  
Human Operator ◽  
Physical Presence ◽  
Complete State ◽  
The Future ◽  
Power Grasp ◽  
Grasp Quality

The involvement of Robots and automated machines in different industries has increased drastically in recent years. Part of this revolution is accomplishing tasks previously performed by humans with advanced robots, which would replace the entire human workforce in the future. In some industries the workers are required to complete different operations in hazardous or difficult environments. Operations like these could be replaced with the use of tele-operated systems that have the capability of grasping objects in their surroundings, thus abandoning the need for the physical presence of the human operator at the area while still allowing control. In this research our goal is to create an assisting system that would improve the grasping of a human operator using a tele-operated robotic gripper and arm, while advising the operator but not forcing a solution. For a given set of objects we computed the optimal grasp to be achieved by the gripper, based on two grasp quality measures of our choosing (namely power grasp and precision grasp). We then tested the performance of different human subjects who tried to grasp the different objects with the tele-operated system, while comparing their success to unassisted and assisted grasping. Our goal is to create an assisting algorithm that would compute optimal grasps and might be integrated into a complete, state-of-the-art tele-operated system.

scholarly journals What you always wanted to know about the deterministic part of the International Planning Competition (IPC) 2014 (but were too afraid to ask)

2018 ◽  
Vol 33 ◽  
Author(s):  
Mauro Vallati ◽  
Lukáš Chrpa ◽  
Thomas L. Mccluskey
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The State ◽  
Strong Impact ◽  
Significant Progress ◽  
Planning Techniques ◽  
Artificial Intelligence Planning ◽  
The Future ◽  
International Planning ◽  
Planning Approaches

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.

scholarly journals Spreading predictability in complex networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Na Zhao ◽  
Jian Wang ◽  
Yong Yu ◽  
Jun-Yan Zhao ◽  
Duan-Bing Chen
Keyword(s):  
Infectious Diseases ◽  
Prediction Model ◽  
Complex Networks ◽  
State Of The Art ◽  
Experimental Results ◽  
Vaccination Strategies ◽  
Macro Scale ◽  
Good Consistency ◽  
The Future ◽  
Rumor Control

AbstractMany state-of-the-art researches focus on predicting infection scale or threshold in infectious diseases or rumor and give the vaccination strategies correspondingly. In these works, most of them assume that the infection probability and initially infected individuals are known at the very beginning. Generally, infectious diseases or rumor has been spreading for some time when it is noticed. How to predict which individuals will be infected in the future only by knowing the current snapshot becomes a key issue in infectious diseases or rumor control. In this report, a prediction model based on snapshot is presented to predict the potentially infected individuals in the future, not just the macro scale of infection. Experimental results on synthetic and real networks demonstrate that the infected individuals predicted by the model have good consistency with the actual infected ones based on simulations.

Computer-assisted database indexing: the state-of-the-art

1994 ◽  
Vol 19 (1) ◽  
pp. 23-27
Author(s):  
Gail M. Hodge
Keyword(s):  
Data Base ◽  
Production System ◽  
State Of The Art ◽  
The State ◽  
Computer Support ◽  
Computer Assisted ◽  
Computer Assistance ◽  
The Future ◽  
Database Indexing ◽  
Operational Systems

Discusses the state-of-the-art in computer indexing, defines indexing and computer assistance, describes the reasons for renewed interest, identifies the types of computer support in use using selected operational systems, describes the integration of various computer supports in one data base production system, and speculates on the future.

Intersection: Reimagining the Future of Mobility Across Traditional Boundaries

2021 ◽  
Author(s):  
Alisyn Malek
Keyword(s):  
Technological Change ◽  
Silicon Valley ◽  
Stanford University ◽  
Interconnected System ◽  
Broad Base ◽  
The Future ◽  
Different Parts ◽  
Thought Leaders

Mobility and transportation mean different things to people, even to those who work in various aspects of the ecosystem - from the movement of people or goods to the development of the infrastructure that enables mobility. For decades these different parts of the ecosystem have been approached as entirely independent industries, but the quickened pace of technological change has driven the need to reconsider how these distinct groups create the vibrant tapestry that is our mobility ecosystem. This book seeks to capture the varied perspectives as a collection of diverse views on the future of mobility, to provide a clearer view on the broad base of possibility and opportunity across this interconnected system. Contributors: Jonathon Baugh, Geoffrey Boquot, Reilly Brennan, Tiffany Chu, Jordan Davis, Courtney Erlichman, Elaina Farnsworth, Valerie Lefler, Wolfgang Lehmacher & Mikail Lind, Shoshana Lew, Suzanne Murtha, Mary Nichols, Trevor Pawl, John Perrachio, Aishwarya Raman, Karina Ricks, Alex Roy, Avinash Ruguboor, Anthony Townsend, Marla Westervelt, and Candace Xie. "Amazing roster of thought leaders come together to paint a picture of a whole new mobility paradigm in the interest of safety, sustainability, and equity." -- Sven Beiker, PhD. Managing Director at Silicon Valley Mobility and Lecturer at Stanford University

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