CVPRMassachusetts Institute of Technology, IEEE Conference on Computer Vision and Pattern Recognition, 2017 Rensselaer Polytechnic Institute, 5th Annual Conference on Advances in Cognitive Systems (ACS), Troy, NY Rensselaer Polytechnic Institute, IEEE Conference on Computer Vision and Pattern Recognition, 2017Rensselaer Polytechnic Institute, In Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci), London, UKRensselaer Polytechnic Institute, In Proceedings of the IJCAI-17Rensselaer Polytechnic Institute, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-17)Rensselaer Polytechnic Institute, 31st AAAI Conference on Artificial Intelligence (AAAI-17)Rensselaer Polytechnic Institute, The Journal of the Acoustical Society of America 141, 3512 (2017)Rensselaer Polytechnic Institute, The Journal of the Acoustical Society of America 141, 3465 (2017)Rensselaer Polytechnic Institute, The Journal of the Acoustical Society of America 141, 3726 (2017)Rensselaer Polytechnic Institute, The Journal of the Acoustical Society of America 141, 3896 (2017)Rensselaer Polytechnic Institute, Intelligent Virtual Agent 2016, Los AngelesRensselaer Polytechnic Institute, International Conference on Interactive Digital Storytelling 2016, Los AngelesRensselaer Polytechnic Institute, ACM Interactive Surfaces and Spaces 2016Rensselaer Polytechnic Institute, Immersive Education Summit 2016, Padova, ItalyRensselaer Polytechnic Institute, Soc. IIT Delhi and IBM on November 29 announced that they will join IBM’s AI Horizons Network to accelerate a multi-year research on artificial intelligence (AI) technologies. The IBM Research Frontiers Institute is a consortium in which partner companies from diverse industries leverage IBM’s research talent and cutting-edge infrastructure in an effort to spur world-changing innovations with global impact. Home. Industrial production creates toxic smoke and sulphur dioxide from the combustion of sulphur-rich fossil fuels such as coal. IBM Research announced that it will expand its Green Horizons initiative globally to enable city governments, utility companies and factories to better understand and improve their relationships with the environment and to help tackle pressing issues related to air pollution and climate change. IBM announced innovative new capabilities planned for IBM Watson designed to help scale the use of AI by businesses. The main factors are wind, humidity and temperature. IBM - Green Horizons. Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation IBM Press Room - IBM announced today that it is working to speed cancer research and explore advanced technical applications in "e-education," medicine, bioinformatics and human behavior through partnerships with more than 130 of the world's leading universities -- all part of its expanded, $36 million global university award program. At IBM Research, we’re inventing what’s next to catalyze and drive the advancements that shape our world. Read about the latest … Leaders in Artificial Intelligence research: IBM Research Cognitive Horizons Network members. Congratulations to AIHN partner Yoshua Bengio, who along with Geoffrey Hinton and Yann LeCun was named the 2018 ACM A. M. Turing Award winner for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. NIPS Workshop on End-to-End Speech Recognition, 2016 The lab is focused on fundamental artificial intelligence (AI) research with the goal of propelling scientific breakthroughs that unlock the potential of AI. To develop and evaluate AI technology solutions that enable older adults to live independently longer and have a higher quality of life; to develop machine learning methods and software tools, and generate novel findings, that implicate the human microbiome in health and disease. IBM Research Zürich: Anika Schumann, Antonio Foncubierta Rodriguez, Cristiano Malossi, Jasmina Bogojeska, Peter Staar, Teodoro Laino. Located eight meters underground, the IBM noise-free Labs in Zurich, Switzerland are designed, engineered and patented by IBM scientists to enable the most sensitive and demanding research experiments at the nanoscale. IBM Thomas J Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598. Discourse disambiguation, structured disentanglement, NL queries over relational & knowledge bases, emotion detection, dialog action & next utterance prediction, multiparty conversation dynamic management, response generation. L. Yao, N. Ballas, K. Cho, J. R. Smith, and Y. Bengio, Empirical performance upper bounds for image and video captioning Founded in 2017, the MIT-IBM Watson AI Lab is a unique academic / corporate partnership to spur the evolution and universal adoption of AI. Cognitive application builder, creative experiential learning advisor, cognitive workload acceleration, new system architectures for cognitive systems, Wen-mei Hwu (UIUC), Jinjun Xiong (IBM)Mohamed El-Hadedy, Haizi Yu, Carl Pearson, Xinheng Liu, Xiaofan Zhang, Raymond Yeh, Abdul Dakkak, Cheng Li, Nguyen Mac, Ashutosh Khar, David Min, Tarek Sakakini , Hongyu Gong, Xiou Ge, Omer Anjum, Ketan Hemant H Date. Working with IBM Research, RPI has created a first-of-its-kind, six-week credit-bearing course in Mandarin taught in the school’s Cognitive and Immersive Systems Laboratory. Download the report. L. Yao, N. Ballas, K. Cho, J. R. Smith, and Y. Bengio, Yoshua Bengio (Montreal), Brian Kingsbury (IBM), Anirudh Goyal , Jose Sotelo, Philemon Brakel , Sungjin Ahn , Dzmitry Bahdanau , Xavier Bouthillier , Junyoung Chung , Akram Erraqabi , Kyle Kastner , César Laurent , Ahmed Touati , Ying Zhang, Aristide Baratin , Tom Bosc , Tong Che, Laurent Dinh , Taesup Kim, Samuel Laférière , Dmitriy Serdyuk, Olexa Bilaniuk, Matthieu Courbariaux, Rosemary Ke. This collaboration is part of the IBM Cognitive Horizons Network, an international consortium of leading universities working with IBM to develop technologies needed to help fulfill the promise of artificial intelligence (AI). Ç. Model renewable energy supply and demand to ensure an optimum balance and reduce power loss. TOP ROW (left to right): Anupam Joshi, University of Maryland, Baltimore County; Yoshua Bengio, University of Montreal; Jim Hendler, Rensselaer Polytechnic Institute; James DiCarlo, Massachusetts Institute Technology BOTTOM ROW (left to right): Satinder Singh Baveja, University MIT-IBM Watson AI Lab. Song, and Y. Bengio, S. Ahn, H. Choi, T. Parnamaa, and Y. Bengio, F. Visin, A. Romero, M. Ciccone, K. Kastner, K. Cho, M. Matteucci, Y. Bengio, and A. Courville, I. V. Serban, T. Klinger, G. Tesauro, K. Talamadupula, B. Zhou, Y. Bengio, and A. Courville, Z. Lin, M. Feng, C. N. dos Santos, M. Yu, B. Xiang, B. Zhou, and Y. Bengio, Ç. Sample user interface from IBM's Hyref energy forecasting system. The most polluted cities are typically low lying or bordered by mountains – or in some cases both. Regulate and transform industry, power generation and traffic for long-term reductions in air pollution. The Network addresses the entire AI stack from analyzing the unstructured and structured data required to train these systems to building the new computing infrastructures needed to optimize the new data-intensive workloads of a truly digital world. Multi-model semantics graph integration, NLP of health forum, Personal health data wrangling, Automatic behavior phenotypes identification and analysis, Watson powered conversation agents, Engagement Apps. Learn more AI Enables Foreign Language Study Abroad, No Travel Required. Gülçehre, S. Ahn, R. Nallapati, B. Zhou, and Y. Bengio, R. Nallapati, B. Zhou, C. dos Santos, Ç. Josh Tenenbaum, Josh McDermott, and Danny Gutfreund (IBM), Andrei Barbu, Pouya Bashivan, Maddie Cusimano, Yen-Ling Kuo, Jonathan Malmaud, Mathew Monfort, Candace Ross, Guy Ben-Yossef, Sue Felshin, David Mayo, James Traer, Moments in Time Dataset: A large-scale dataset for recognizing and understanding action in videos. This allows city planners and utilities to model a cleaner and more sustainable future. The Best of Minds: IBM’s Commitment to Advancing AI Research with University Partners. Developed by IBM Research, the new capabilities are designed to improve the automation of AI, provide a higher degree of precision in natural language processing, and foster greater trust in outcomes derived from AI predictions. International Conference on Learning Representations (ICLR), 2016 From smog to blue skies the biggest factor influencing air pollution is the weather. D. Serdyuk, K. Audhkhasi, P. Brakel, B. Ramabhadran, S. Thomas, and Y. Bengio, Oracle performance for visual captioning Am. IBM combines the power of the Internet of Things, Big Data processing and cognitive computing to analyze environmental data from thousands of sources and create accurate, self-refining weather and pollution forecasts. Terrain is a key factor in air quality, influencing the weather and sometimes reducing airflow. From identifying more effective cancer treatments to analyzing NBA draft picks, cognitive computing and artificial intelligence have arrived and are making a measurable difference in our daily … Advanced cognitive technologies can help to model different scenarios for restricting traffic so that city officials can calculate the potential gains in air quality. TOP ROW (left to right): Anupam Joshi, University of Maryland, Baltimore County; Yoshua Bengio, University of Montreal; Jim Hendler, Rensselaer Polytechnic Institute; James DiCarlo, Massachusetts Institute Technology BOTTOM ROW (left to right): Satinder Singh Baveja, University Lasecki, Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerald Tesauro, and Satinder Singh, Quan Chen, Hailong Yang, Jason Mars, and Lingjia Tang, Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, and Lingjia Tang, Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, and Jason Mars, Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis, Melvin McInnis, Emily Mower Provost, John Gideon, Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis, Emily Mower Provost, Duc Le, Zakaria Aldeneh, Emily Mower Provost, Youxuan Jiang, Jonathan K. Kummerfeld and Walter S. Lasecki, A. Goyal, A. Sordoni, M. Côté, N. R. Ke, and Y. Bengio,  A. Goyal, N. R. Ke, S. Ganguli, and Y. Bengio, D. Krueger, T. Maharaj, J. Kramár, M. Pezeshki, N. Ballas, N. R. Ke, A. Goyal, Y. Bengio, A. Courville, and C. Pal, I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio, I. V. Serban, A. García-Durán, C. Gulcehre, S. Ahn, S. Chandar, A. Courville, and Y. Bengio, A. Goyal, N. R. Ke, A. Lamb, R. D. Hjelm, C. Pal, J. Pineau, and Y. Bengio, I. V. Serban, C. Sankar, M. Germain, S. Zhang, Z. Lin, S. Subramanian, T. Kim, M. Pieper, S. Chandar, N. R. Ke, S. Rajeshwar, A. de Brebisson, J. M. R. Sotelo, D. Suhubdy, V. Michalski, A. Nguyen, J. Pineau, and Y. Bengio, T. Che, Y. Li, R. Zhang, R. D. Hjelm, W. Li, Y. C3SR is a collaboration between IBM and UIUC, co-directed by myself and UIUC’s Prof. Wen-mei Hwu. During the past year, the Cognitive Horizons Network … Forecast particulate air pollution to calculate when solar panels require cleaning or replacing. IBM’s Green Horizons initiative is based on innovations from the company’s Research Laboratory in Beijing, with contributions from leading environmental experts across IBM’s global network of … Developing machines that can emulate the human ability to understand inputs from multiple video streams and predict potential future events in real-time. ACL, 2016 IBM Researchers, world-class faculty, and top graduate students work together on a series of advanced research projects and experiments designed to accelerate the application of artificial intelligence, machine learning, natural language processing and related technologies. The sector comprises millions of small and large producers and is hard to monitor and regulate. We need AI that combines different forms of knowledge, unpacks causal relationships, and learns new things on its own. Infographic: Project Green Horizon. Applying trained models to new challenges requires an immense amount of new data training, and time. Multimodal interaction and dialog, Spatial context, Spherical microphone array, Group dynamics understanding, Situations reasoning and planning, Collaborative decision making, Narrative/Analogy generation, Data visualization and sonification, Multimodal storytelling. Semantic Web ConferenceUniversity of Maryland at Baltimore County, In Proceedings of the AAAI Conference on Human Computation (HCOMP 2017)University of Michigan, ACM SIGPLAN Notices, vol. This allows city planners and utilities to model a cleaner and more sustainable future. IBM has announced innovative new capabilities planned for IBM Watson designed to help scale the use of AI by businesses. Jim Hendler (RPI), Ching-Hua Chen (IBM), Henry Chang (IBM), Yu Chen, Sabbir Rashid, Jonathan Harris, Dylan Elliott, Oshani Seneviratne, Ryan Sherman. AI . One scientist is trying to create a test, Artificial intelligence in action: At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events, The Mandarin Project: AI-Assisted Language Learning at the RPI Cognitive and Immersive Systems Laboratory (CISL), University of Massachusetts Amherst Computer Scientist Andrew McCallum Named 2017 ACM Fellow, AI Horizons Network and UIUC Assistant Professor Lav Varshney named CAS Beckham Fellow, University of Massachusetts Amherst Information Extraction and Synthesis Lab joins the Network, A joint MIT-IBM team set out to build a very large-scale dataset to help AI systems recognize and understand actions in videos, IBM and MIT to establish MIT–IBM Watson AI Lab, University of Illinois Urbana-Champaign C3SR team wins Honorable Mention in the IEEE HPEC GraphChallenge conference. IBM Research announced it is … In short, AI must have fluid intelligence— and that's exactly what our AI research teams are building. IBM combines the power of the Internet of Things, Big Data processing and cognitive computing to analyze environmental data from thousands of sources and create accurate, self-configuring weather and pollution forecasts. Since the IBM Q Network’s launch in 2017 it has grown to more than 100 organizations, collaborating with IBM and one another to advance fundamental quantum computing research, and the development of practical applications for business and science. AI Horizons Network. Applying cognitive computing to cybersecurity via analytics and machine learning, while also exploring specialized computer power optimized for these new intensive computing workloads. 4, pp. Working with IBM Research, RPI has created a first-of-its-kind, six-week credit-bearing course in Mandarin taught in the school’s Cognitive and Immersive Systems Laboratory. IBM commissioned Forrester Consulting to evaluate hospital readiness and adoption paths for next-gen technology including cloud, data and AI. of global businesses consider sustainability fundamental to remaining competitive. Andrew McCallum (UMass), Michael Witbrock (IBM), Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown, Quanfu Fan, Dan Gutfruend, Carl Vondrick, Aude Oliva, Sujoy Sikdar, Sibel Adali, and Lirong Xia, Jonas Braasch, Nikhil Deshpande, Jonathan Mathews, and Samuel Chabot, Wendy Lee, Samuel Chabot, and Jonas Braasch, Gyanendra Sharma, Jonas Braasch, Rich Radke, Atriya Sen, Selmer Bringsjord, Rich Radke, Matt Peveler, Jonathan Mathews and Jonas Braasch, J. Acoust, Rui Zhao, Quan Gan, Shangfei Wang and Qiang Ji, Chao Gou, Yue Wu, Fei-Yue Wang, and Qiang Ji, R. Yeh, J. Xiong, M. Doh, W. Hwu, A. Schwing, W. Hwu, I. Hajj, S. Gonzalo, C. Pearson, N. Kim, D. Chen, J. Xiong, Z. Sura, K. Date, K. Feng, R. Nagi, J. Xiong, N. Kim, W. Hwu. Y. Ding, J. Evans, S. Spangler, L. R. Varshney, and D. Wang, A. Vempaty, L. R. Varshney, and P. K. Varshney, H. Shi, Z. Liu, Y. The Rensselaer-IBM Artificial Intelligence Research Collaboration (AIRC), a member of the IBM AI Horizons, is dedicated to advancing the science of artificial intelligence and enabling the use of AI and machine learning in research investigations, innovations, and applications of joint interest to both Rensselaer and IBM. 681-696. At IBM Research, we’re inventing what’s next to catalyze and drive the advancements that shape our world. A joint MIT-IBM team set out to build a very large-scale dataset to help AI systems recognize and understand actions in videos. AI . Six universities including Rensselaer Polytechnic Institute have joined with IBM Research to launch the Cognitive Horizons Network, a network #committed to accelerating the development of core technologies needed to advance the promise of cognitive computing.. Projects are designed to apply the technologies to some of the world’s most enduring challenges, ranging from disease and the environment to transportation and education. ACL, 2016Université de Montréal, arXiv:1711.04755 [stat.ML], 2017Université de Montréal, arXiv:1709.02349 [cs.CL], 2017Université de Montréal, arXiv:1702.07983 [cs.AI], 2017Université de Montréal, arXiv:1609.07061 [cs.NE], 2016Université de Montréal, arXiv:1608.00318 [cs.CL], 2016Université de Montréal, CVPR Workshop "DeepVision: Deep Learning in Computer Vision," 2016Université de Montréal, International Conference on Learning RepresentationsUniversité de Montréal, SIGNLL Conference on Computational Natural Language Learning (CoNLL)Université de Montréal, NIPS Workshop on End-to-End Speech RecognitionUniversité de Montréal, Proc. The Best of Minds: IBM’s Commitment to Advancing AI Research with University Partners. Power generation is the largest global source of pollutants and emissions. IBM Research’s Green Horizons project launched in 2014 to help Beijing deliver on its goals of reducing air-polluting fine Particulate Matter (PM 2.5) by 25 percent by 2017. Building environments that explore and advance natural, collaborative problem-solving among groups of people and machines, with the goal of improving how people work together to make decisions. Representation adaptation, domain generalization, transfer learning Weakly supervised, unsupervised, and zero-shot learning Deep learning models for interpretability and explainability Fusion of text, images, video and audio into decision-making Complex, multi-modal question answering. Deep learning, low-shot machine learning techniques, word embeddings, language models, structural analysis (parsing) of natural language sentences and document structure, natural language generation, data augmentation, human-in-the-loop techniques, joint modeling of images and text, knowledge graphs, entity and relation extraction, question answering. Develop a robust, interactive AI system for multimodal question answering and joint human-machine problem solving related to text, images, video and audio. For more information about the AIRC, watch this video: The collaboration fosters the growth of AI and machine learning capabilities through faculty hires, by funding specific research initiatives, and through funding top graduate students as IBM AI Horizons fellows. Developing the stack of applications, accelerators, software, hardware and networking needed to support larger and more complex cognitive workloads. AI Horizons Network. Launched in 2018, the Rensselaer-IBM Artificial Intelligence Research Collaboration ( AIRC) is a multi-year, multi-million dollar joint venture boasting dozens of ongoing projects in 2020-2021 involving more than 80 IBM and RPI researchers working to advance AI. Leaders in Artificial Intelligence research: IBM Research Cognitive Horizons Network members. Just one year into the 10 year initiative, the research team in China is expanding Green Horizons globally, with projects in Johannesburg and Delhi underway. How can knowledge from different sources be merged? The dataset contains 1 million three-seconds video clips, each annotated with the actions that occur during the clips. 51, no. IBM Thomas J Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598 If you are using a GPS system, please enter "200 Aqueduct Road, Ossining NY" for … Gülçehre, and B. Xiang, D. Serdyuk, K. Audhkhasi, P. Brakel, B. Ramabhadran, S. Thomas, and Y. Bengio, L. Yao, N. Ballas, K. Cho, J. R. Smith, and Y. Bengio. Today's AI is narrow. Requires collaboration to bring its potential to life. Soumen Chakrabarti and Karthik Sankaranarayanan (IBM), Pushpak Bhattacharyya, Sunita Sarawagi, Ganesh Ramakrishnan, Preethi Jyothi, Samarth Bharadwaj, Anupama Ray, Shreya Khare, Tejas Dhamecha, Vishwajeet Kumar. 140, 3292 (2016)Rensselaer Polytechnic Institute, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016Rensselaer Polytechnic Institute, ACM Symposium on Eye Tracking Research & Applications, 2016Rensselaer Polytechnic Institute, European Conference on Computer Vision Workshop (ECCV-W), 2016Rensselaer Polytechnic Institute, International Conference on Pattern Recognition (ICPR), 2016Rensselaer Polytechnic Institute, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)University of Illinois Urbana-Champaign, IEEE international conference on Rebooting Computing (ICRC)University of Illinois Urbana-Champaign, IEEE High Performance Extreme Computing Conference (HPEC), Graph ChallengeUniversity of Illinois Urbana-Champaign, Conference on Empirical Methods in Natural Language Processing (EMNLP)University of Illinois Urbana-Champaign, 27th International Conference on Field-Programmable Logic and ApplicationsUniversity of Illinois Urbana-Champaign. 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