Artificial Intelligence-Based Beam Management for High Speed Applications in mmWave Spectrum

2020 ◽  
Author(s):  
Yeon-Geun Lim ◽  
Hyoungju Ji ◽  
Jin-Hyun Park ◽  
Younsun Kim
Keyword(s):  
Artificial Intelligence ◽  
High Speed

scholarly journals Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses

Polymers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 312
Author(s):  
Naruki Hagiwara ◽  
Shoma Sekizaki ◽  
Yuji Kuwahara ◽  
Tetsuya Asai ◽  
Megumi Akai-Kasaya
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
High Speed ◽  
Conductive Polymer ◽  
Long Term Potentiation ◽  
Short Term ◽  
Synaptic Functions ◽  
Term Potentiation ◽  
Artificial Brain ◽  
External Stimuli

Networks in the human brain are extremely complex and sophisticated. The abstract model of the human brain has been used in software development, specifically in artificial intelligence. Despite the remarkable outcomes achieved using artificial intelligence, the approach consumes a huge amount of computational resources. A possible solution to this issue is the development of processing circuits that physically resemble an artificial brain, which can offer low-energy loss and high-speed processing. This study demonstrated the synaptic functions of conductive polymer wires linking arbitrary electrodes in solution. By controlling the conductance of the wires, synaptic functions such as long-term potentiation and short-term plasticity were achieved, which are similar to the manner in which a synapse changes the strength of its connections. This novel organic artificial synapse can be used to construct information-processing circuits by wiring from scratch and learning efficiently in response to external stimuli.

Development of algorithms that simulate the solution of a problem by a person

2022 ◽  
Vol 1 ◽  
pp. 01006
Author(s):  
Iurii V. Filatov
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
Separate Study ◽  
Human Actions ◽  
History Of ◽  
Human Thinking ◽  
Problem Comparison ◽  
The Way

Some algorithms, which are often based on the use of elements of higher mathematics, possessing high speed and compact coding in algorithmic languages, are poorly mastered by most students. It can be assumed that this is due to the difficulty of presenting the principles of their work in the form of human actions in ordinary situations. Thus, a certain contradiction arises between the way of solving the problem that a person resorts to without using a computer and the way we force our computer to solve this problem. Comparison of the process of explaining algorithms speaks in favor of algorithms imitating human thinking. The discussion of the advantages of the algorithms themselves is beyond the scope of this article and undoubtedly deserves a separate study. If artificial intelligence is created, then its creator or creators will certainly be ranked among the outstanding geniuses in the history of civilization, no matter what algorithms it uses. However, so far there is no one to solve problems for us and create algorithms, so we will use all available means and try to teach this to children.

Artificial Intelligence Techniques for Modern Energy Applications

2010 ◽  
pp. 1-39 ◽  
Author(s):  
Soteris Kalogirou ◽  
Kostas Metaxiotis ◽  
Adel Mellit
Keyword(s):  
Artificial Intelligence ◽  
Power Systems ◽  
High Speed ◽  
Fault Tolerant ◽  
System Modeling ◽  
Social Psychological ◽  
Energy Applications ◽  
Manufacturing Optimization ◽  
Linear Problems ◽  
Very High

Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques or as components of integrated systems. They have been used to solve complicated practical problems in various areas and nowadays are very popular. They are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. They can learn from examples, are fault tolerant in the sense that they are able to handle noisy and incomplete data, are able to deal with non-linear problems and once trained can perform prediction and generalization at very high speed. AI-based systems are being developed and deployed worldwide in a wide variety of applications, mainly because of their symbolic reasoning, flexibility and explanation capabilities. They have been used in diverse applications in control, robotics, pattern recognition, forecasting, medicine, power systems, manufacturing, optimization, signal processing and social/psychological sciences. They are particularly useful in system modeling such as in implementing complex mappings and system identification. This chapter presents a review of the main AI techniques such as expert systems, artificial neural networks, genetic algorithms, fuzzy logic and hybrid systems, which combine two or more techniques. It also outlines some applications in the energy sector.

scholarly journals Heat Transfer and Its Innovative Applications

Inventions ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 4
Author(s):  
Ping-Hei Chen ◽  
Hyung Cho
Keyword(s):  
Heat Transfer ◽  
Artificial Intelligence ◽  
High Speed ◽  
Heat Dissipation ◽  
Outer Space ◽  
Electronic Devices ◽  
Daily Lives ◽  
Autonomous Cars

Innovative and high-end techniques have been recently developed in academic institutes and are gradually being employed in our daily lives for improving living quality, namely, artificial intelligence (AI) technology, autonomous cars, hyper-loop for high-speed transportation, miniaturization of electronic devices, heat dissipation from cooling films to outer space, and so on [...]

scholarly journals Design of 2.5D Interposer in High Bandwidth Memory and Through Silicon Via for High Speed Signal

2020 ◽  
Author(s):  
Bo Pu
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
High Performance ◽  
Equivalent Model ◽  
Electrical Characteristics ◽  
Through Silicon Via ◽  
High Bandwidth ◽  
Signal Path ◽  
High Speed Switching ◽  
Performance Computing

<p>The 2.5D interposer becomes a crucial solution to realize grand bandwidth of HBM for the increasing data requirement of high performance computing (HPC) and Artificial Intelligence (AI) applications. To overcome high speed switching bottleneck caused by the large resistive and capacitive characteristics of interposer, design methods to achieve an optimized performance in a limited routing area are proposed. Unlike the conventional single through silicon via (TSV), considering the reliability, multiple TSV are used as the robust 3D interconnects for each signal path. An equivalent model to accurately describe the electrical characteristics of the multiple TSVs, and a configuration pattern strategy of TSV to mitigate crosstalk are also proposed.</p>

scholarly journals The Role of AI in Cervical Cancer Screening

2021 ◽  
Author(s):  
Bojana Turic ◽  
Xiaorong Sun ◽  
Jian Wang ◽  
Baochang Pang
Keyword(s):  
Artificial Intelligence ◽  
Cervical Cancer ◽  
Quality Control ◽  
High Speed ◽  
Clinical Laboratory ◽  
Medical Procedures ◽  
Laboratory Setting ◽  
Intelligent Algorithms ◽  
Technological Advances

In the last few years internet-based technologies played an important role in reinventing various medical procedures and facilitating quick access to medical services and care, particularly in the remote areas of China. The use of artificial intelligence and cloud computing in clinical laboratory setting for slide analysis contributed to standardized cytology and pathology diagnosis but more importantly slide analysis with artificial intelligence has a huge potential to compensate for a country wide lack of pathologists and systematic quality control. While well-established automated slide scanning is already in use, we added intelligent algorithms located in a secure cloud for the better slide readings, and mobile phone microscopes to capture those regions of Hubei province where laboratory infrastructure is supported by high-speed internet and 5G networks. These technological advances allowed us to bring an important pathology expertise across the large areas of China.

The Past of the Future of Computation

2018 ◽  
Author(s):  
James A. Anderson
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
The Other ◽  
Cognitive Tasks ◽  
Cognitive Tool ◽  
The Past ◽  
The World ◽  
The Future ◽  
Simple Step ◽  
A Current

Hand axes, language, and computers are tools that increase our ability to deal with the world. Computing is a cognitive tool and comes in several kinds: digital, analog, and brain-like. An analog telephone connects two telephones with a wire. Talking causes a current to flow on the wire. In a digital telephone the voltage is converted into groups of ones or zeros and sent at high speed from one telephone to the other. An analog telephone requires one simple step. A digital telephone requires several million discrete steps per second. Digital telephones work because the hardware has gotten much faster. Yet brains constructed of slow devices and using a few watts of power are competitive for many cognitive tasks. The important question is not why machines are becoming so smart but why humans are still so good. Artificial intelligence is missing something important probably based on hardware differences.

GDPR vs. Big Data & AI in FinTechs

2020 ◽  
Vol 89 (4) ◽  
pp. 55-72
Author(s):  
Nermin Varmaz
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Protection ◽  
Financial Services ◽  
High Speed ◽  
Personal Data ◽  
General Data Protection Regulation ◽  
Spending Patterns ◽  
General Data ◽  
Initial Processing

Summary: This article addresses the compliance of the use of Big Data and Artificial Intelligence (AI) by FinTechs with European data protection principles. FinTechs are increasingly replacing traditional credit institutions and are becoming more important in the provision of financial services, especially by using AI and Big Data. The ability to analyze a large amount of different personal data at high speed can provide insights into customer spending patterns, enable a better understanding of customers, or help predict investments and market changes. However, once personal data is involved, a collision with all basic data protection principles stipulated in the European General Data Protection Regulation (GDPR) arises, mostly due to the fact that Big Data and AI meet their overall objectives by processing vast data that lies beyond their initial processing purposes. The author shows that within this ratio, pseudonymization can prove to be a privacy-compliant and thus preferable alternative for the use of AI and Big Data while still enabling FinTechs to identify customer needs. Zusammenfassung: Dieser Artikel befasst sich mit der Vereinbarkeit der Nutzung von Big Data und Künstlicher Intelligenz (KI) durch FinTechs mit den europäischen Datenschutzgrundsätzen. FinTechs ersetzen zunehmend traditionelle Kreditinstitute und gewinnen bei der Bereitstellung von Finanzdienstleistungen an Bedeutung, insbesondere durch die Nutzung von KI und Big Data. Die Fähigkeit, eine große Menge unterschiedlicher personenbezogener Daten in hoher Geschwindigkeit zu analysieren, kann Einblicke in das Ausgabeverhalten der Kunden geben, ein besseres Verständnis der Kunden ermöglichen oder helfen, Investitionen und Marktveränderungen vorherzusagen. Sobald jedoch personenbezogene Daten involviert sind, kommt es zu einer Kollision mit allen grundlegenden Datenschutzprinzipien, die in der europäischen Datenschutzgrundverordnung (DS-GVO) festgelegt sind, vor allem aufgrund der Tatsache, dass Big Data und KI ihre übergeordneten Ziele durch die Verarbeitung großer Datenmengen erreichen, die über ihre ursprünglichen Verarbeitungszwecke hinausgehen. Der Autor zeigt, dass sich in diesem Verhältnis die Pseudonymisierung als datenschutzkonforme und damit vorzugswürdige Alternative für den Einsatz von KI und Big Data erweisen kann, die FinTechs dennoch in die Lage versetzt, Kundenbedürfnisse zu erkennen.

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