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557 Results

June 13, 2018

Improving Perception Accuracy with Multi-sensory Haptic Cue Delivery

Eurohaptics

This paper presents a novel, wearable, and multi-sensory haptic feedback system intended to support the transmission of large sets of haptic cues that are accurately perceived by the human user. Previous devices have focused on the optimization of haptic cue transmission using a single modality and have typically employed arrays of haptic tactile actuators to maximize information throughput to a user.

By: Nathan Dunkelberger, Joshua Bradley, Jennifer L. Sullivan, Ali Israr, Frances Lau, Keith Klumb, Freddy Abnousi, Marcia K. O’Malley
June 13, 2018

Efficient Evaluation of Coding Strategies for Transcutaneous Language Communication

Eurohaptics 2018

Communication of natural language via the skin has seen renewed interest with the advent of mobile devices and wearable technology. Efficient evaluation of candidate haptic encoding algorithms remains a significant challenge. We present 4 algorithms along with our methods for evaluation, which are based on discriminability, learnability, and generalizability. Advantageously, mastery of an extensive vocabulary is not required.

By: Robert Turcott, Jennifer Chen, Pablo Castillo, Brian Knott, Wahyudinata Setiawan, Forrest Briggs, Keith Klumb, Freddy Abnousi, Prasad Chakka, Frances Lau, Ali Israr
June 12, 2018

Development of a Receive Phased Array Antenna for High Altitude Platform Stations using Integrated Beamformer Modules

International Microwave Symposium (IMS)

This paper describes the development and test of an electrically steerable phased array antenna designed for implementation in multilayer circuit board architecture.

By: Will Theunissen, Vipul Jain, Gaurav Menon
June 1, 2018

The Immersive VR Self: Performance, Embodiment and Presence in Immersive Virtual Reality Environments

Book chapter from A Networked Self and Human Augmentics, AI, Sentience

Virtual avatars are a common way to present oneself in online social interactions. From cartoonish emoticons to hyper-realistic humanoids, these online representations help us portray a certain image to our respective audiences.

By: Raz Schwartz, William Steptoe
June 1, 2018

Colorless Green Recurrent Networks Dream Hierarchically

North American Chapter of the Association for Computational Linguistics (NAACL)

Recurrent neural networks (RNNs) have achieved impressive results in a variety of linguistic processing tasks, suggesting that they can induce non-trivial properties of language. We investigate here to what extent RNNs learn to track abstract hierarchical syntactic structure. We test whether RNNs trained with a generic language modeling objective in four languages (Italian, English, Hebrew, Russian) can predict long-distance number agreement in various constructions.

By: Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni
June 1, 2018

QuickEdit: Editing Text & Translations by Crossing Words Out

Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

We propose a framework for computer-assisted text editing. It applies to translation post-editing and to paraphrasing. Our proposal relies on very simple interactions: a human editor modifies a sentence by marking tokens they would like the system to change.

By: David Grangier, Michael Auli
May 24, 2018

A Universal Music Translation Network

ArXiv

We present a method for translating music across musical instruments, genres, and styles. This method is based on a multi-domain wavenet autoencoder, with a shared encoder and a disentangled latent space that is trained end-to-end on waveforms.

By: Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman
May 16, 2018

Glow: Graph Lowering Compiler Techniques for Neural Networks

arXiv

This paper presents the design of Glow, a machine learning compiler for heterogeneous hardware. It is a pragmatic approach to compilation that enables the generation of highly optimized code for multiple targets. Glow lowers the traditional neural network dataflow graph into a two-phase strongly-typed intermediate representation.

By: Saleem Abdulrasool, Summer Deng, Roman Dzhabarov, Jordan Fix, James Hegeman, Roman Levenstein, Bert Maher, Satish Nadathur, Jakob Olesen, Jongsoo Park, Artem Rakhov, Nadav Rotem, Misha Smelyanskiy
May 16, 2018

Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems

arXiv

Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of important applications such as vehicular communications and wireless virtual/augmented reality. Realizing this in practice, though, requires overcoming several challenges.

By: Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, Djordje Tujkovic
May 15, 2018

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

Proceedings of the IEEE

Motivated by a variety of applications—decentralized estimation in sensor networks, fitting models to massive data sets, and decentralized control of multi-robot systems, to name a few—significant advances have been made towards the development of robust, practical algorithms with theoretical performance guarantees. This paper presents an overview of recent work in this area.

By: Angelica Nedic, Alex Olshevsky, Mike Rabbat