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https://www.readbyqxmd.com/read/28728020/neuroscience-inspired-artificial-intelligence
#1
REVIEW
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals...
July 19, 2017: Neuron
https://www.readbyqxmd.com/read/28727549/learning-and-inferring-dark-matter-and-predicting-human-intents-and-trajectories-in-videos
#2
Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
This paper presents a method for localizing functional objects and predicting human intents and trajectories in surveillance videos of public spaces, under no supervision in training. People in public spaces are expected to intentionally take shortest paths (subject to obstacles) toward certain objects (e.g. vending machine, picnic table, dumpster etc.) where they can satisfy certain needs (e.g., quench thirst). Since these objects are typically very small or heavily occluded, they cannot be inferred by their visual appearance but indirectly by their influence on people's trajectories...
July 19, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28726439/a-stability-bias-effect-among-deceivers
#3
Adam Charles Harvey, Aldert Vrij, Lorraine Hope, Sharon Leal, Samantha Mann
Research examining how truth tellers' and liars' verbal behavior is attenuated as a function of delay is largely absent from the literature, despite its important applied value. We examined this factor across 2 studies in which we examined the effects of a hypothetical delay (Experiment 1) or actual delay (Experiment 2) on liars' accounts. In Experiment 1-an insurance claim interview setting-claimants either genuinely experienced a (staged) loss of a tablet device (n = 40) or pretended to have experienced the same loss (n = 40)...
July 20, 2017: Law and Human Behavior
https://www.readbyqxmd.com/read/28719002/eyeslam-real-time-simultaneous-localization-and-mapping-of-retinal-vessels-during-intraocular-microsurgery
#4
Daniel Braun, Sungwook Yang, Joseph N Martel, Cameron N Riviere, Brian C Becker
BACKGROUND: Fast and accurate mapping and localization of the retinal vasculature is critical to increasing the effectiveness and clinical utility of robot-assisted intraocular microsurgery such as laser photocoagulation and retinal vessel cannulation. METHODS: The proposed EyeSLAM algorithm delivers 30 Hz real-time simultaneous localization and mapping of the human retina and vasculature during intraocular surgery, combining fast vessel detection with 2D scan-matching techniques to build and localize a probabilistic map of the vasculature...
July 18, 2017: International Journal of Medical Robotics + Computer Assisted Surgery: MRCAS
https://www.readbyqxmd.com/read/28714884/design-and-implementation-of-a-smart-home-system-using-multisensor-data-fusion-technology
#5
Yu-Liang Hsu, Po-Huan Chou, Hsing-Cheng Chang, Shyan-Lung Lin, Shih-Chin Yang, Heng-Yi Su, Chih-Chien Chang, Yuan-Sheng Cheng, Yu-Chen Kuo
This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents' wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident's feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system...
July 15, 2017: Sensors
https://www.readbyqxmd.com/read/28713235/connecting-the-brain-to-itself-through-an-emulation
#6
Mijail D Serruya
Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28713231/grip-force-and-3d-push-pull-force-estimation-based-on-semg-and-grnn
#7
Changcheng Wu, Hong Zeng, Aiguo Song, Baoguo Xu
The estimation of the grip force and the 3D push-pull force (push and pull force in the three dimension space) from the electromyogram (EMG) signal is of great importance in the dexterous control of the EMG prosthetic hand. In this paper, an action force estimation method which is based on the eight channels of the surface EMG (sEMG) and the Generalized Regression Neural Network (GRNN) is proposed to meet the requirements of the force control of the intelligent EMG prosthetic hand. Firstly, the experimental platform, the acquisition of the sEMG, the feature extraction of the sEMG and the construction of GRNN are described...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28706303/memristive-neural-network-for-on-line-learning-and-tracking-with-brain-inspired-spike-timing-dependent-plasticity
#8
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, N Ramaswamy, A S Spinelli, D Ielmini
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires first to gain a detailed understanding of the brain operation, and second to identify a scalable microelectronic technology capable of reproducing some of the inherent functions of the human brain, such as the high synaptic connectivity (~10(4)) and the peculiar time-dependent synaptic plasticity...
July 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28698501/energy-harvesting-based-body-area-networks-for-smart-health
#9
Yixue Hao, Limei Peng, Huimin Lu, Mohammad Mehedi Hassan, Atif Alamri
Body area networks (BANs) are configured with a great number of ultra-low power consumption wearable devices, which constantly monitor physiological signals of the human body and thus realize intelligent monitoring. However, the collection and transfer of human body signals consume energy, and considering the comfort demand of wearable devices, both the size and the capacity of a wearable device's battery are limited. Thus, minimizing the energy consumption of wearable devices and optimizing the BAN energy efficiency is still a challenging problem...
July 10, 2017: Sensors
https://www.readbyqxmd.com/read/28694614/environmental-arsenic-contamination-and-its-effect-on-intelligence-quotient-of-school-children-in-a-historic-gold-mining-area-hutti-north-karnataka-india-a-pilot-study
#10
R Manju, Amitha M Hegde, Paul Parlees, Anisha Keshan
CONTEXT: Arsenic is a rare crystal element that naturally occurs in all environmental media. A combination of regional and site-specific biogeochemical and hydrological factors governs its dispersion in the environment. It has far reaching consequences on human health. Exposure to arsenic in drinking water has been associated with a decline in intellectual function in children. AIM: The aim of this study is to assess the relationship between exposure to arsenic by drinking water and children's intelligence in Karnataka state, India...
July 2017: Journal of Neurosciences in Rural Practice
https://www.readbyqxmd.com/read/28681955/stretchable-motion-memory-devices-based-on-mechanical-hybrid-materials
#11
Yaqing Liu, Zhiyuan Liu, Bowen Zhu, Jiancan Yu, Ke He, Wan Ru Leow, Ming Wang, Bevita K Chandran, Dianpeng Qi, Hong Wang, Geng Chen, Cai Xu, Xiaodong Chen
Animals possess various functional systems such as sensory, nervous, and motor systems, which show effective cooperation in order to realize complicated and intelligent behaviors. This inspires rational designs for the integration of individual electronic devices to exhibit a series of functions, such as sensing, memory, and feedback. Inspired by the fact that humans can monitor and memorize various body motions, a motion memory device is developed to mimic this biological process. In this work, mechanical hybrid substrates are introduced, in which rigid memory devices and stretchable strain sensors are integrated into a single module, which enables them to work cooperatively in the wearable state...
July 6, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28681679/artificial-intelligence-for-analyzing-orthopedic-trauma-radiographs
#12
Jakub Olczak, Niklas Fahlberg, Atsuto Maki, Ali Sharif Razavian, Anthony Jilert, André Stark, Olof Sköldenberg, Max Gordon
Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remarkable performance in classifying non-medical images, and the technology is believed to be the next technological revolution. So far it has never been applied in an orthopedic setting, and in this study we sought to determine the feasibility of using deep learning for skeletal radiographs. Methods - We extracted 256,000 wrist, hand, and ankle radiographs from Danderyd's Hospital and identified 4 classes: fracture, laterality, body part, and exam view...
July 6, 2017: Acta Orthopaedica
https://www.readbyqxmd.com/read/28677638/unsupervised-fault-diagnosis-of-a-gear-transmission-chain-using-a-deep-belief-network
#13
Jun He, Shixi Yang, Chunbiao Gan
Artificial intelligence (AI) techniques, which can effectively analyze massive amounts of fault data and automatically provide accurate diagnosis results, have been widely applied to fault diagnosis of rotating machinery. Conventional AI methods are applied using features selected by a human operator, which are manually extracted based on diagnostic techniques and field expertise. However, developing robust features for each diagnostic purpose is often labour-intensive and time-consuming, and the features extracted for one specific task may be unsuitable for others...
July 4, 2017: Sensors
https://www.readbyqxmd.com/read/28674931/why-we-should-create-artificial-offspring-meaning-and-the-collective-afterlife
#14
John Danaher
This article argues that the creation of artificial offspring could make our lives more meaningful (i.e. satisfy more meaning-relevant conditions of value). By 'artificial offspring' I mean beings that we construct, with a mix of human and non-human-like qualities. Robotic artificial intelligences are paradigmatic examples of the form. There are two reasons for thinking that the creation of such beings could make our lives more meaningful and valuable. The first is that the existence of a collective afterlife-i...
July 3, 2017: Science and Engineering Ethics
https://www.readbyqxmd.com/read/28674393/identifying-affective-personality-profiles-a-latent-profile-analysis-of-the-affective-neuroscience-personality-scales
#15
Massimiliano Orri, Jean-Baptiste Pingault, Alexandra Rouquette, Christophe Lalanne, Bruno Falissard, Catherine Herba, Sylvana M Côté, Sylvie Berthoz
Based on evolutionary theory, a recent model in affective neuroscience delineated six emotional brain systems at the core of human personality: SEEKING, CARING, PLAYFULNESS, FEAR, ANGER, SADNESS. The Affective Neuroscience Personality Scales (ANPS) assess their functioning. Using a person-centred approach of the ANPS, this study: (i) examined the existence of latent personality profiles, (ii) studied their gender invariance, (iii) assessed their longitudinal (4 years) stability, and (iv) explored how they relate to several intrapersonal, interpersonal, and emotion regulation skills...
July 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28666178/a-systematic-review-of-gait-analysis-methods-based-on-inertial-sensors-and-adaptive-algorithms
#16
REVIEW
Rafael Caldas, Marion Mundt, Wolfgang Potthast, Fernando Buarque de Lima Neto, Bernd Markert
The conventional methods to assess human gait are either expensive or complex to be applied regularly in clinical practice. To reduce the cost and simplify the evaluation, inertial sensors and adaptive algorithms have been utilized, respectively. This paper aims to summarize studies that applied adaptive also called artificial intelligence (AI) algorithms to gait analysis based on inertial sensor data, verifying if they can support the clinical evaluation. Articles were identified through searches of the main databases, which were encompassed from 1968 to October 2016...
June 24, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28663789/molecular-and-phenotypic-biomarkers-of-aging
#17
REVIEW
Xian Xia, Weiyang Chen, Joseph McDermott, Jing-Dong Jackie Han
Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of 'healthy aging', and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age-associated diseases, and extend healthy life span are now facilitated by the fast-growing capacity of multilevel cross-sectional and longitudinal data acquisition, storage, and analysis, particularly for data related to general human populations...
2017: F1000Research
https://www.readbyqxmd.com/read/28659981/effectiveness-of-cognitive-behavioral-therapy-on-spiritual-well-being-and-emotional-intelligence-of-the-elderly-mourners
#18
Abas Solaimani Khashab, Hosain Ghamari Kivi, Davod Fathi
Objective: Grief is one of the most painful experiences of the humans after linking emotions. In the literature of trauma, grief and mourning can be seen on many topics. Intervention and treatment of grief seems necessary as the period of mourning is prolonged. Thus, this study aimed at understanding the effectiveness of cognitive behavioral therapy on spiritual well-being and emotional intelligence in the elderly bereavement. Method: This was an experimental study with pre-and posttest design, and control group...
April 2017: Iranian Journal of Psychiatry
https://www.readbyqxmd.com/read/28655498/mind-games-game-engines-as-an-architecture-for-intuitive-physics
#19
REVIEW
Tomer D Ullman, Elizabeth Spelke, Peter Battaglia, Joshua B Tenenbaum
We explore the hypothesis that many intuitive physical inferences are based on a mental physics engine that is analogous in many ways to the machine physics engines used in building interactive video games. We describe the key features of game physics engines and their parallels in human mental representation, focusing especially on the intuitive physics of young infants where the hypothesis helps to unify many classic and otherwise puzzling phenomena, and may provide the basis for a computational account of how the physical knowledge of infants develops...
June 24, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28655440/iacp-gaensc-evolutionary-genetic-algorithm-based-ensemble-classification-of-anticancer-peptides-by-utilizing-hybrid-feature-space
#20
Shahid Akbar, Maqsood Hayat, Muhammad Iqbal, Mian Ahmad Jan
Cancer is a fatal disease, responsible for one-quarter of all deaths in developed countries. Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive, susceptible to errors and ineffective techniques. These conventional techniques induce severe side-effects on human cells. Due to perilous impact of cancer, the development of an accurate and highly efficient intelligent computational model is desirable for identification of anticancer peptides. In this paper, evolutionary intelligent genetic algorithm-based ensemble model, 'iACP-GAEnsC', is proposed for the identification of anticancer peptides...
June 17, 2017: Artificial Intelligence in Medicine
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