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Are Future Humans Doomed To Be Replaced By Artificial Intelligence?

/PRNewswire/ Will smart machines someday replace attorneys, physicians, computer programmers, and world leaders? What about composers, painters, and.

United statesDiscovery instituteTransactions on neural networksOptical society of americaFeedforward artificial neural networksInstitute of electricalCenter mind mattersComputer engineering at baylor universityNeural networks councilDiscovery institute walter bradley centerNon computable youDiscovery institute pressNon computable you marksDistinguished professorComputer engineeringWalter bradley center

Developing an AI Algorithm to Monitor Infant Sleep Positions

A team of researchers has developed an optimal AI algorithm for infant sleep posture classification to help prevent sudden infant death syndrome.

United statesUnited kingdomBritish columbiaCity ofMegan craigFeng yu shutterstockLas vegasMovement tracking of infantsTransactions on neural networksInternational journal of computer visionJournal of information technology in constructionNetwork trainingIntegers in deep neural networksNetwork collected intelligenceConvolutional networksProceedings of the international conference on machine

Analysis of Different Human Sitting Behaviors Using Inertial Sensor

The article discusses research revealing the use of an inertial sensor built into smartphones to overcome unhealthy sitting behaviors of the office worker.

United statesWestern australiaChiang maiSouth koreaMegan craigMegan craigoctInternational journal of machineProceedings of the international conferenceBright movementTransactions on sensor networksTransactions on neural networksStraight movementInternational journal of humanInternational conference on biomedicalInformation technologyInternational journal of industrial ergonomics

Recent Studies from University of Illinois Add New Data to Neural Networks and Learning Systems (Continuous Model Adaptation Using Online Meta-learning for Smart Grid Application)

Recent Studies from University of Illinois Add New Data to Neural Networks and Learning Systems (Continuous Model Adaptation Using Online Meta-learning for Smart Grid Application)
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United statesUniversity of illinoisElectrical electronics engineers incTransactions on neural networksNational science foundationInstitute of electricalElectronics engineersNetwork daily news dataNeural networksReporter staff news editorLearning systemsScience foundationSmart gridIndustrial engineering

Spiking neural network promises improved AI

20th April 2021 11:39 am 20th April 2021 11:39 am A biomimicking neural network housed in a microchip could lead to faster and more efficient applications of artificial intelligence. Advances in artificial intelligence technology is leading to the development of neural networks that mimic the biology of the brain (© 2021 KAUST) This is the claim of researchers at KAUST in Saudi Arabia whose ‘spiking’ neural network lays the foundation for much improved hardware-based AI computing systems. Artificial intelligence is gaining traction in areas including advanced automation, data mining and healthcare. These systems are based on a mathematical artificial neural network (ANN) composed of layers of decision-making nodes. Labelled data is fed into the system to ‘train’ the model to respond a certain way, then the decision-making rules are locked in and the model is put into service on standard computing hardware.

Saudi arabiaWenzhe guoTransactions on neural networksNeural networksLearning systemsசவுதி அரேபியாபரிவர்த்தனைகள் ஆன் நரம்பியல் நெட்வொர்க்குகள்நரம்பியல் நெட்வொர்க்குகள்கற்றல் அமைப்புகள்

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