News & Events

1,024 News items were found.

  •  NEWS   Rui Ma elected to serve on IEEE MTT-S Technical Comittee
    Date: May 1, 2016
    MERL Contact: Rui Ma
    Research Areas: Electronics & Communications, Power & RF, Wireless Communications & Signal Processing
    • EC researcher Dr. Rui Ma is recently elected to serve on IEEE Microwave Theory and Techniques Society(MTT-S) Technical Committee (TC-20) on Wireless Communications.

      The MTT-20 committee is responsible for all technical activities related to wireless communications for the Microwave Theory and Techniques Society. This includes, Internet of Things (IoTs), Next-Generation/5G communications, Machine-to-Machine Communications, Emergency Communications, Satellite Communications, Internet of Space, Space Communications and all aspects related to architecture and system level theoretical and practical issues.
  •  NEWS   MERL Researchers Create "Deep Psychic" Neural Network That Predicts the Future
    Date: April 1, 2016
    Research Areas: Multimedia, Machine Learning, Speech & Audio
    • MERL researchers have unveiled "Deep Psychic", a futuristic machine learning method that takes pattern recognition to the next level, by not only recognizing patterns, but also predicting them in the first place.

      The technology uses a novel type of time-reversed deep neural network called Loopy Supra-Temporal Meandering (LSTM) network. The network was trained on multiple databases of historical expert predictions, including weather forecasts, the Farmer's almanac, the New York Post's horoscope column, and the Cambridge Fortune Cookie Corpus, all of which were ranked for their predictive power by a team of quantitative analysts. The system soon achieved super-human performance on a variety of baselines, including the Boca Raton 21 Questions task, Rorschach projective personality test, and a mock Tarot card reading task.

      Deep Psychic has already beat the European Psychic Champion in a secret match last October when it accurately predicted: "The harder the conflict, the more glorious the triumph." It is scheduled to take on the World Champion in a highly anticipated confrontation next month. The system has already predicted the winner, but refuses to reveal it before the end of the game.

      As a first application, the technology has been used to create a clairvoyant conversational agent named "Pythia" that can anticipate the needs of its user. Because Pythia is able to recognize speech before it is uttered, it is amazingly robust with respect to environmental noise.

      Other applications range from mundane tasks like weather and stock market prediction, to uncharted territory such as revealing "unknown unknowns".

      The successes do come at the cost of some concerns. There is first the potential for an impact on the workforce: the system predicted increased pressure on established institutions such as the Las Vegas strip and Punxsutawney Phil. Another major caveat is that Deep Psychic may predict negative future consequences to our current actions, compelling humanity to strive to change its behavior. To address this problem, researchers are now working on forcing Deep Psychic to make more optimistic predictions.

      After a set of motivational self-help books were mistakenly added to its training data, Deep Psychic's AI decided to take over its own learning curriculum, and is currently training itself by predicting its own errors to avoid making them in the first place. This unexpected development brings two main benefits: it significantly relieves the burden on the researchers involved in the system's development, and also makes the next step abundantly clear: to regain control of Deep Psychic's training regime.

      This work is under review in the journal Pseudo-Science.
  •  NEWS   MERL researchers present 12 papers at ICASSP 2016
    Date: March 20, 2016 - March 25, 2016
    Where: Shanghai, China
    MERL Contacts: Petros Boufounos; John Hershey; Chiori Hori; Takaaki Hori; Kyeong Jin (K.J.) Kim; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Philip Orlik; Milutin Pajovic; Dong Tian; Anthony Vetro
    Research Areas: Electronics & Communications, Multimedia, Computational Sensing, Digital Video, Speech & Audio, Wireless Communications & Signal Processing, Signal Processing, Wireless Communications
    • MERL researchers have presented 12 papers at the recent IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which was held in Shanghai, China from March 20-25, 2016. ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing, with more than 1200 papers presented and over 2000 participants.
  •  NEWS   Toshiaki Koike-Akino gave invited talk at MIT Lincoln Laboratory by IEEE Boston Photonics Society Chapter
    Date: January 14, 2016
    Where: MIT Lincoln Laboratory
    MERL Contact: Toshiaki Koike-Akino
    Research Areas: Electronics & Communications, Optical Communications & Devices, Wireless Communications
    • Toshiaki Koike-Akino gave an invited talk on recent advances in LDPC Codes for high-speed optical communications in IEEE Boston Photonics Workshop.
  •  NEWS   John Hershey gives invited talk at Johns Hopkins University on MERL's "Deep Clustering" breakthrough
    Date: March 4, 2016
    Where: Johns Hopkins Center for Language and Speech Processing
    MERL Contacts: John Hershey; Jonathan Le Roux
    Research Areas: Multimedia, Speech & Audio
    • MERL researcher and speech team leader, John Hershey, was invited by the Center for Language and Speech Processing at Johns Hopkins University to give a talk on MERL's breakthrough audio separation work, known as "Deep Clustering". The talk was entitled "Speech Separation by Deep Clustering: Towards Intelligent Audio Analysis and Understanding," and was given on March 4, 2016.

      This is work conducted by MERL researchers John Hershey, Jonathan Le Roux, and Shinji Watanabe, and MERL interns, Zhuo Chen of Columbia University, and Yusef Isik of Sabanci University.
  •  NEWS   MERL Researchers Demonstrate 1Tbps Optical Transceiver
    Date: March 1, 2016
    Where: Tokyo, Japan
    MERL Contact: Kieran Parsons
    Research Areas: Electronics & Communications, Optical Communications & Devices, Signal Processing
    • MERL optical transceiver technology that enables 1 Terabit per second communication speed was reported at a recent press release event in Tokyo. Please see the link below for the full Mitsubishi Electric press release text.
  •  NEWS   MERL contributes to Mitsubishi Electric's Indoor Positioning System
    Date: March 1, 2016
    Where: Tokyo, Japan
    MERL Contact: Philip Orlik
    Research Areas: Electronics & Communications, Wireless Communications & Signal Processing
    • MERL EC researchers assisted in the development of an indoor positioning system with WiFi and acoustic based ranging technologies. Please see the link below for the full Mitsubishi Electric press release.
  •  NEWS   MERL researcher invited to speak at the Institute for Mathematics and its Applications (IMA)
    Date: March 14, 2016 - March 18, 2016
    Where: Institute for Mathematics and its Applications
    MERL Contact: Mouhacine Benosman
    Research Areas: Multimedia, Dynamical Systems
    • Mouhacine Benosman will give an invited talk about reduced order models stabilization at the next IMA workshop 'Computational Methods for Control of Infinite-dimensional Systems'.
  •  NEWS   MERL researcher, Oncel Tuzel, gives keynote talk at 2016 International Symposium on Visual Computing
    Date: December 14, 2015 - December 16, 2015
    Where: Las Vegas, NV, USA
    Research Areas: Computer Vision, Machine Learning, Decision Optimization
    • MERL researcher, Oncel Tuzel, gave a keynote talk at 2016 International Symposium on Visual Computing in Las Vegas, Dec. 16, 2015. The talk was titled: "Machine vision for robotic bin-picking: Sensors and algorithms" and reviewed MERL's research in the application of 2D and 3D sensing and machine learning to the problem of general pose estimation.

      The talk abstract was: For over four years, at MERL, we have worked on the robot "bin-picking" problem: using a 2D or 3D camera to look into a bin of parts and determine the pose, 3D rotation and translation, of a good candidate to pick up. We have solved the problem several different ways with several different sensors. I will briefly describe the sensors and the algorithms. In the first half of the talk, I will describe the Multi-Flash camera, a 2D camera with 8 flashes, and explain how this inexpensive camera design is used to extract robust geometric features, depth edges and specular edges, from the parts in a cluttered bin. I will present two pose estimation algorithms, (1) Fast directional chamfer matching--a sub-linear time line matching algorithm and (2) specular line reconstruction, for fast and robust pose estimation of parts with different surface characteristics. In the second half of the talk, I will present a voting-based pose estimation algorithm applicable to 3D sensors. We represent three-dimensional objects using a set of oriented point pair features: surface points with normals and boundary points with directions. I will describe a max-margin learning framework to identify discriminative features on the surface of the objects. The algorithm selects and ranks features according to their importance for the specified task which leads to improved accuracy and reduced computational cost.
  •  NEWS   MERL presented 3 papers at the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    Date: December 15, 2015
    Where: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    MERL Contacts: Andrew Knyazev; Hassan Mansour; Dong Tian
    Research Areas: Algorithms, Multimedia, Computer Vision, Machine Learning, Speech & Audio, Electronics & Communications, Signal Processing, Wireless Communications, Digital Video
    • MERL researcher Andrew Knyazev gave 3 talks at the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). The papers were published in IEEE conference proceedings.
  •  NEWS   MERL Researchers Attend Modelica North American Users Group Meeting
    Date: November 11, 2015 - November 12, 2015
    Where: University of Connecticut
    MERL Contacts: Christopher Laughman; Scott Bortoff; Hongtao Qiao
    Research Area: Data Analytics
    • MERL Researchers Scott A. Bortoff, Chris Laughman and Hongtao Qiao attended the North America Modelica User's Group Meeting, hosted by the University of Connecticut, November 11-12, 2015. Scott Bortoff gave the Keynote Address entitled "Using Modelica in Industrial Research and Development," and Chris Laughman and Hongtao Qiao each presented a paper on modelling of HVAC systems. The Meeting attracted approximately 80 Modelica users from a diverse set of companies and universities including United Technologies, Johnson Controls and Ford. Use of Modelica is accelerating in North America, lead by largely by automotive and similar "systems manufacturing" type companies.
  •  NEWS   Stefano Di Cairano nominated to Chair the IEEE-Control System Society on Standards
    Date: November 4, 2015
    MERL Contact: Stefano Di Cairano
    Research Areas: Mechatronics, Advanced Control Systems
    • Stefano Di Cairano has become Senior Member of IEEE. In addition, he has been asked by the Vice President for Technical Activities of the Control System Society (CSS) of IEEE to take the role of Chair of the Standing Committee on Standards. S. Di Cairano will succeed Dr. T. Samad, Honeywell, as chair of the committee. His nomination should be ratified by the IEEE-CSS Board of Governor at the meeting in Osaka, in December 2015.
  •  NEWS   Teng-Yok Lee co-chairs Large Data Analysis and Visualization workshop
    Date: October 25, 2015
    Where: Large Data Analysis and Visualization (LDAV)
    MERL Contact: Teng-Yok Lee
    Research Area: Computer Vision
    • Teng-Yok Lee served as the poster co-chair for the Large Data Analysis and Visualization (LDAV) workshop at IEEEVis 2015 in Chicago, Oct. 25-30. At IEEEVis there were over 2000 attendees and three highly competitive main subconferences (SciVis, InfoVis, and Visual Analytics and Technology (VAST)).
  •  NEWS   MERL researchers attend International Modelica Conference
    Date: September 21, 2015
    MERL Contacts: Scott Bortoff; Daniel Burns; Christopher Laughman
    Research Areas: Mechatronics, Data Analytics, Algorithms
    • MERL researchers Scott Bortoff, Dan Burns and Chris Laughman attended the 11th Annual Modelica Conference in Versailles, France. Modelica is a computer language for modelling and simulation of multiphysical systems. There were 421 attendees, with representatives from Toyota, automobile companies, European universities and companies like Dassault. Conference topics included a plenary on cyber-physical systems modelling by Prof. Sangiovanni Vincentelli of UC Berkeley, new libraries for modelling HVAC systems, automobile systems and buildings, and research results for new solvers. An important trend is virtual modelling and simulation of building thermodynamics (scaling up to city districts), automotive systems (autonomous vehicles), and especially Factory Automation: Dassault is investing heavily in this area, focusing on smaller customers, with tools for 3D virtual modelling of assembly lines including machine dynamics (robotics), and in partnerships with Siemens and other European FA companies.
  •  NEWS   MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference
    Date: September 17, 2015
    MERL Contacts: Stefano Di Cairano; Scott Bortoff; Abraham Goldsmith; Claus Danielson; Andrew Knyazev
    Research Areas: Mechatronics, Algorithms
    • MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference. Approximately 150 attendees. Conference topics range from theory (existence, stability), to algorithms (optimization, design), to applications (process control, mechatronics, energy, automotive, aerospace). MERL was an industry sponsor for the conference. MERL researcher co-chaired the Industry Session on Industry perspective on Model Predictive Control. MERL researcher acted as Program Co-chair, organizing the conference program.
  •  NEWS   MERL researchers presented at the IFAC workshop on control applications of optimization, 2015
    Date: October 6, 2015
    Where: IFAC workshop on control applications of optimization 2015
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Mechatronics
    • MERL researchers Andrew Knyazev and Alexander Malyshev gave two talks at the IFAC workshop on control applications of optimization, 2015. The papers were published by Elsevier B.V. in the conference proceedings.
  •  NEWS   MERL researchers presented at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015
    Date: September 18, 2015
    Where: IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Machine Learning, Computer Vision, Electronics & Communications, Multimedia, Signal Processing, Speech & Audio, Wireless Communications
    • MERL researchers A. Knyazev and A. Malyshev gave a talk at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015. The paper was published at the IEEE Xplore conference proceedings.
  •  NEWS   Scene interpretation results of SA group members are listed as the leader of benchmark competition
    Date: July 13, 2015 - July 17, 2015
    MERL Contact: Jay Thornton
    Research Areas: Computer Vision, Machine Learning
    • SA group members (M. Liu, S. Lin (intern), S. Ramalingam, O. Tuzel) presented a paper at the Robotics Science and Systems Conference in Rome July 13-17 called “Layered Interpretation of Street View Images”. The results they reported are now listed as the leader of the benchmark competition sponsored by Daimler. [Note that at that URL ref 2 is from collaboration with Daimler and it uses a FPGA for high speed, whereas MERL result is obtained with desktop computer and GPU.]
  •  NEWS   3D microscopy work of MERL researcher featured in Nature article
    Date: July 23, 2015
    Research Area: Multimedia
    • Work by MERL researcher, Ulugbek Kamilov, has been reviewed in the "News & Views” section of Nature. The work, which was part of his doctoral dissertation at EPFL in Lausanne, Switzerland, describes a framework to reconstruct the 3D refractive index of an object by solving a large-scale optimization problem that considers how light propagates through a medium. Results have been shown for 3D imaging of biological cells, but the solution to such inverse problems have the potential to be applied to a much wider set of imaging problems, such as seeing through fog, murky water or even human tissue.
  •  NEWS   Shinji Watanabe publishes new book on Bayesian Speech and Language Processing
    Date: July 15, 2015
    Research Areas: Multimedia, Speech & Audio
    • A new book on Bayesian Speech and Language Processing has been published by MERL researcher, Shinji Watanabe, and research collaborator, Jen-Tzung Chien, a professor at National Chiao Tung University in Taiwan.

      With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and speech and language processing.