News & Events

1,218 News items found.


  •  NEWS    MERL Researchers Demonstrate 1Tbps Optical Transceiver
    Date: March 1, 2016
    Where: Tokyo, Japan
    MERL Contact: Kieran Parsons
    Research Areas: Communications, Signal Processing
    Brief
    • 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 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 Area: Dynamical Systems
    Brief
    • 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 Area: Machine Learning
    Brief
    • 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 Contact: Hassan Mansour
    Research Area: Machine Learning
    Brief
    • 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 R. Laughman; Scott A. Bortoff; Hongtao Qiao
    Research Area: Data Analytics
    Brief
    • 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 Area: Control
    Brief
    • 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)
    Research Area: Computer Vision
    Brief
    • 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 A. Bortoff; Christopher R. Laughman
    Brief
    • 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 A. Bortoff; Abraham Goldsmith
    Brief
    • 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
    Research Area: Control
    Brief
    • 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
    Research Area: Machine Learning
    Brief
    • 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
    Research Area: Machine Learning
    Brief
    • 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
    Brief
    • 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 Area: Speech & Audio
    Brief
    • 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.
  •  
  •  NEWS    MERL researchers present 10 papers at the American Controls Conference
    Date: July 3, 2015
    MERL Contacts: Daniel N. Nikovski; Yebin Wang; Stefano Di Cairano; Arvind Raghunathan; Avishai Weiss
    Brief
    • MERL researchers presented 10 papers at the American Controls Conference, in Chicago, USA. The ACC is one of the most important conferences on control systems in the world. Topics ranged from theoretical, including new algorithms for Model Predictive Control and Co-Design, to applications including spacecraft control and HVAC systems.
  •  
  •  NEWS    MERL researcher's spam filter finds automobile safety defects at NHTSA
    Date: June 25, 2015
    MERL Contact: William S. Yerazunis
    Research Area: Data Analytics
    Brief
    • The CRM114 Discriminator, an open-source spam filter / text classifier created by William Yerazunis in MERL's Data Analytics group, continues to turn up in interesting places - and apparently one of them is in the US Department of Transportation's process for analysis of car safety defect reports.

      Although CRM114 is usually used as a spam filter, CRM114 has been used to analyze resumes for jobseekers, scanning outgoing emails to detect accidental confidential information leaks, perusing blogs for relevance, scanning syslog files for interesting events, and now, apparently, searching complaints sent to NHTSA to find safety-related vehicle malfunctions.
  •  
  •  NEWS    EC researchers and intern receive "Best Student Poster Award" at EDSCC 2015
    Date: June 4, 2015
    MERL Contact: Koon Hoo Teo
    Research Areas: Applied Physics, Electronic and Photonic Devices
    Brief
    • Li Zhu, Koon Hoo Teo and Qun Gao's paper, 'Dynamic On-resistance and Tunneling Based De-trapping in GaN HEMT,' was awarded the "Best Student Poster Award" at the IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC) 2015.
  •  
  •  NEWS    EC Researcher elected as Vice Chair of the IEEE Boston Section MTT-S Chapter
    Date: June 1, 2015
    Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
    Brief
    • Rui Ma has been elected as Vice Chair of the IEEE Boston Section Microwave Theory and Techniques Society (MTT-S) Chapter.
  •  
  •  NEWS    MERL and Mitsubishi Electric researchers presented at the SIAM Conference on Control and Its Applications 2015
    Date: July 13, 2015
    Where: SIAM Conference on Control and Its Applications 2015
    Research Area: Control
    Brief
    • MERL and Mitsubishi Electric researchers presented talks at the SIAM Conference on Control and Its Applications 2015. The papers were published by SIAM in the conference proceedings.
  •  
  •  NEWS    EC Researchers presented paper at WPT 2015 Conference
    Date: May 13, 2015 - May 15, 2015
    MERL Contacts: Bingnan Wang; William S. Yerazunis; Koon Hoo Teo
    Research Areas: Applied Physics, Electric Systems
    Brief
    • Description: Bingnan Wang presented a paper, 'Circularly Polarized Near Field for Resonant Wireless Power Transfer' at the recently held IEEE Wireless Power Transfer Conference in Boulder, Colorado from May 13-15, 2015.
  •  
  •  NEWS    EC Researchers presented 2 papers at CLEO 2015 Conference
    Date: May 10, 2015 - May 15, 2015
    MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
    Research Area: Communications
    Brief
    • Toshiaki Koike-Akino presented 'LDPC-coded 16-dimensional modulation based on the Nordstrom--Robinson nonlinear block code,' and 'Phase noise-robust LLR calculation with linear/bilinear transform for LDPC-coded coherent communications,' at the recently held CLEO conference in San Jose, CA.
  •  
  •  NEWS    MERL presented a paper at ICCS meeting
    Date: June 1, 2015
    Where: International Conference on Computational Science (ICCS)
    Brief
    • Andrew Knyazev gave a talk at the International Conference on Computational Science (ICCS), 2015 on Nonsymmetric preconditioning for conjugate gradient and steepest descent methods. The paper was published by Elsevier B.V. in the conference proceedings.
  •  
  •  NEWS    John Hershey gives talk at MIT on Deep Unfolding
    Date: April 28, 2015
    Brief
    • MERL researcher and speech team leader, John Hershey, gave a talk at MIT entitled, "Deep Unfolding: Deriving Novel Deep Network Architectures from Model-based Inference Methods" on April 28, 2015.

      Abstract: Model-based methods and deep neural networks have both been tremendously successful paradigms in machine learning. In model-based methods, problem domain knowledge can be built into the constraints of the model, typically at the expense of difficulties during inference. In contrast, deterministic deep neural networks are constructed in such a way that inference is straightforward, but their architectures are rather generic and it can be unclear how to incorporate problem domain knowledge. This work aims to obtain some of the advantages of both approaches. To do so, we start with a model-based approach and unfold the iterations of its inference method to form a layer-wise structure. This results in novel neural-network-like architectures that incorporate our model-based constraints, but can be trained discriminatively to perform fast and accurate inference. This framework allows us to view conventional sigmoid networks as a special case of unfolding Markov random field inference, and leads to other interesting generalizations. We show how it can be applied to other models, such as non-negative matrix factorization, to obtain a new kind of non-negative deep neural network that can be trained using a multiplicative back propagation-style update algorithm. In speech enhancement experiments we show that our approach is competitive with conventional neural networks, while using fewer parameters.
  •  
  •  NEWS    Nikkei reports on Mitsubishi Electric speech recognition
    Date: April 20, 2015
    Brief
    • Mitsubishi Electric researcher, Yuuki Tachioka of Japan, and MERL researcher, Shinji Watanabe, presented a paper at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP) entitled, "A Discriminative Method for Recurrent Neural Network Language Models". This paper describes a discriminative (language modelling) method for Japanese speech recognition. The Japanese Nikkei newspapers and some other press outlets reported on this method and its performance for Japanese speech recognition tasks.
  •  
  •  NEWS    Multimedia Group researchers presented 8 papers at ICASSP 2015
    Date: April 19, 2015 - April 24, 2015
    Where: IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP)
    MERL Contacts: Anthony Vetro; Hassan Mansour; Petros T. Boufounos; Jonathan Le Roux
    Brief
    • Multimedia Group researchers have presented 8 papers at the recent IEEE International Conference on Acoustics, Speech & Signal Processing, which was held in Brisbane, Australia from April 19-24, 2015.
  •