Results 11 to 20 of about 6,881,959 (290)

Skills for physical artificial intelligence [PDF]

open access: yesNature Machine Intelligence, 2020
Synthesizing robots via physical artificial intelligence is a multidisciplinary challenge for future robotics research. An education methodology is needed for researchers to develop a combination of skills in physical artificial ...
Miriyev, Aslan, Kovac, Mirko
core   +5 more sources

Artificial Intelligence Goes Physical [PDF]

open access: yesSmall Science, 2021
Exploiting the intrinsic nonlinearity in physical reservoirs, e.g., dopant‐atom networks, provides a new approach toward highly efficient computing such as feature projection and classification. In a recent study by Chen et al., the computational capability of dopant‐atom network was investigated and found to diminish as the signal‐to‐noise ratio (SNR)
Zhaokun Jing, Yuchao Yang
openaire   +3 more sources

PHYSICAL INTELLIGENT SENSORS [PDF]

open access: yesControl and Intelligent Systems, 2007
This paper proposes the development of intelligent sensors as part of an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary ...
Pavan Bandhil   +4 more
openaire   +2 more sources

The Road to General Intelligence [PDF]

open access: yes, 2022
Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair ...
Swan, Jerry   +5 more
core   +1 more source

Swarm Intelligence [PDF]

open access: yes, 2019
Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community.

core   +2 more sources

The Governance of Physical Artificial Intelligence

open access: yesCoRR, 2023
Physical artificial intelligence can prove to be one of the most important challenges of the artificial intelligence. The governance of physical artificial intelligence would define its responsible intelligent application in the society.
Yingbo Li   +2 more
openaire   +2 more sources

Artificial intelligence in cyber physical systems [PDF]

open access: yesAI & SOCIETY, 2020
Abstract This article conducts a literature review of current and future challenges in the use of artificial intelligence (AI) in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and ...
Petar Radanliev   +4 more
openaire   +7 more sources

Creating three-dimensional magnetic functional microdevices via molding-integrated direct laser writing

open access: yesNature Communications, 2022
Magnetic, wireless miniature devices are promising for healthcare, information technology, and many other field but lack advanced fabrication methods for micrometer length scales. Here authors present a molding-integrated direct laser writing fabrication
Zemin Liu   +5 more
doaj   +1 more source

Micro- and nanofabrication of dynamic hydrogels with multichannel information

open access: yesNature Communications, 2023
Creating micro/nanostructures containing multi-channel information within responsive hydrogels presents exciting opportunities for dynamically changing functionalities.
Mingchao Zhang   +7 more
doaj   +1 more source

Physics Inspired Models in Artificial Intelligence

open access: yesProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
Ideas originating in physics have informed progress in artificial intelligence and machine learning for many decades. However the pedigree of many such ideas is oft neglected in the Computer Science community. The tutorial focuses on current and past ideas from physics that have helped in furthering AI and machine learning.
Muhammad Aurangzeb Ahmad   +1 more
openaire   +3 more sources

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