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MIT Synthetic Intelligence Laboratory | Discovering How the Brain Implements Intelligence

MIT Synthetic Intelligence Laboratory. Discovering How the Brain Implements Intelligence. The goal of the MIT Synthetic Intelligence project is to reveal how the brain computes intelligence, at a fundamental and mechanistic level. In order to do this, we must be able to probe brain functions at physiological, structural, and molecular levels, in a scalable fashion. Housed physically in the MIT Media Lab and the MIT McGovern Institute, and conducted in partnership with the MIT Synthetic Neurobiology Group.

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MIT Synthetic Intelligence Laboratory | Discovering How the Brain Implements Intelligence | synthintel.org Reviews

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MIT Synthetic Intelligence Laboratory. Discovering How the Brain Implements Intelligence. The goal of the MIT Synthetic Intelligence project is to reveal how the brain computes intelligence, at a fundamental and mechanistic level. In order to do this, we must be able to probe brain functions at physiological, structural, and molecular levels, in a scalable fashion. Housed physically in the MIT Media Lab and the MIT McGovern Institute, and conducted in partnership with the MIT Synthetic Neurobiology Group.

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MIT Synthetic Intelligence Laboratory | Discovering How the Brain Implements Intelligence | synthintel.org Reviews

https://synthintel.org

MIT Synthetic Intelligence Laboratory. Discovering How the Brain Implements Intelligence. The goal of the MIT Synthetic Intelligence project is to reveal how the brain computes intelligence, at a fundamental and mechanistic level. In order to do this, we must be able to probe brain functions at physiological, structural, and molecular levels, in a scalable fashion. Housed physically in the MIT Media Lab and the MIT McGovern Institute, and conducted in partnership with the MIT Synthetic Neurobiology Group.

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synthintel.org

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Our People – MIT Synthetic Intelligence Lab

http://www.synthintel.org/people

MIT Synthetic Intelligence Lab. Discovering How the Brain Implements Intelligence. Email: esb, followed by @media.mit.edu. Email: nhmit, followed by @mit.edu. Email: cambria, followed by @media.mit.edu. Email: bdallen, followed by @media.mit.edu. Email: ygyoon, followed by @media.mit.edu. Young Gyu Yoon is currently a Ph. D. student in the department of Electrical Engineering and Computer Science in MIT and he received the B.S. and M.S. degrees in Electrical Engineering and Comput...Fei received his BS i...

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Our People – MIT Synthetic Intelligence Lab

http://www.synthintel.com/people

MIT Synthetic Intelligence Lab. Discovering How the Brain Implements Intelligence. Email: esb, followed by @media.mit.edu. Email: nhmit, followed by @mit.edu. Email: cambria, followed by @media.mit.edu. Email: bdallen, followed by @media.mit.edu. Email: ygyoon, followed by @media.mit.edu. Young Gyu Yoon is currently a Ph. D. student in the department of Electrical Engineering and Computer Science in MIT and he received the B.S. and M.S. degrees in Electrical Engineering and Comput...Fei received his BS i...

sentic.net

WISDOM « SenticNet

http://www.sentic.net//wisdom

Learn, leverage, love. WISDOM'16 (KDD 2016, August 14th, San Francisco). WISDOM'15 (KDD 2015, August 10th, Sydney). WISDOM'14 (ICML 2014, June 25th, Beijing). WISDOM'13 (KDD 2013, August 11th, Chicago). WISDOM'12 (KDD 2012, August 12th, Beijing). Endogenous NLP for sentiment analysis. Semantic multi-dimensional scaling for sentiment analysis. Big social data analysis. Opinion retrieval, extraction, classification, tracking and summarization. Domain adaptation for sentiment classification. Predicting Trus...

sentic.net

Tutorial « SenticNet

http://www.sentic.net//tutorial

Learn, leverage, love. CINLP @ IEEE CIM. CLOSA @ IEEE IS.

sentic.net

SENTIRE « SenticNet

http://www.sentic.net//sentire

Learn, leverage, love. Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) is the IEEE ICDM workshop series on opinion mining. The term SENTIRE comes from the Latin. SENTIRE'16 (ICDM 2016, December 12th, Barcelona). SENTIRE'15 (ICDM 2015, November 14th, Atlantic City). SENTIRE'14 (ICDM 2014, December 14th, Shenzhen). SENTIRE'13 (ICDM 2013, December 7th, Dallas). SENTIRE'12 (ICDM 2012, December 10th, Brussels). SENTIRE'11 (ICDM 2011, December 11th, Vancouver). Opinio...

sentic.net

Downloads « SenticNet

http://www.sentic.net//downloads

Learn, leverage, love. The different versions of SenticNet are accessible in RDF/XML format. Simply associates polarity scores with almost 6,000 ConceptNet concepts. In addition to polarity,. Also assigns semantics and sentics to common-sense concepts and extends the breadth of the knowledge base to about 13,000 entries. Finally,. Eg, for tasks such as on-line auto-categorization and real-time human-computer interaction). CINLP @ IEEE CIM. CLOSA @ IEEE IS.

sentic.net

Demo « SenticNet

http://www.sentic.net//demo

Learn, leverage, love. The Sentic Demo shows how SenticNet can be exploited for concept-level sentiment analysis. In particular, the demo adopts an ensemble of machine-learning and knowledge-based techniques to perform sentence polarity detection. The demo employs. Please note that the task of subjectivity detection is not addressed. Hence, the demo assumes that the input sentence is opinionated. Also, please use non-inflected form of auxiliary verbs, e.g., "do not". In stead of "don't". In stead of "i'm".

sentic.net

Publications « SenticNet

http://www.sentic.net//publications

Learn, leverage, love. Affective computing and sentiment analysis. IEEE Intelligent Systems 31(2), pp. 102-107 (2016). S Poria, E. Cambria, and A. Gelbukh. Aspect extraction for opinion mining with a deep convolutional neural network. Knowledge-Based Systems 108, pp. 42-49 (2016). S Poria, E. Cambria, N. Howard, G.-B. Huang, and A. Hussain. Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing 174, pp. 50-59 (2016). N Tran, E. Cambria, and A. Hussain. A mul...

sentic.net

API « SenticNet

http://www.sentic.net//api

Learn, leverage, love. Sentic API provides the semantics and sentics associated with 30,000 common-sense concepts. A full list of such concepts is available at. Other API methods include. Http:/ sentic.net/api/en/concept/CONCEPT NAME. For getting all the available information associated with a specific concept and more fine-grained methods for getting semantics, sentics, and polarity, respectively:. Http:/ sentic.net/api/en/concept/CONCEPT NAME/semantics. For example, can be retrieved with the command.

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synthintel.com

MIT Synthetic Intelligence Laboratory | Discovering How the Brain Implements Intelligence

MIT Synthetic Intelligence Laboratory. Discovering How the Brain Implements Intelligence. The goal of the MIT Synthetic Intelligence project is to reveal how the brain computes intelligence, at a fundamental and mechanistic level. In order to do this, we must be able to probe brain functions at physiological, structural, and molecular levels, in a scalable fashion. Housed physically in the MIT Media Lab and the MIT McGovern Institute, and conducted in partnership with the MIT Synthetic Neurobiology Group.

synthintel.org

MIT Synthetic Intelligence Laboratory | Discovering How the Brain Implements Intelligence

MIT Synthetic Intelligence Laboratory. Discovering How the Brain Implements Intelligence. The goal of the MIT Synthetic Intelligence project is to reveal how the brain computes intelligence, at a fundamental and mechanistic level. In order to do this, we must be able to probe brain functions at physiological, structural, and molecular levels, in a scalable fashion. Housed physically in the MIT Media Lab and the MIT McGovern Institute, and conducted in partnership with the MIT Synthetic Neurobiology Group.

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