Microsoft Research collaborates with KAIST in Korea to explore bimanual interactions with haptic feedback in virtual reality

Editor’s Note: Bimanual controllers are frequently used to enhance the realism and immersion of virtual reality experiences such as games and simulations. Researchers have typically relied on mechanical linkages between the controllers to recreate the sensation of holding different objects with both hands. However, those linkages cannot quickly adapt to simulate dynamic objects. They also make for bulky controllers that can’t be disconnected to support free, independent movements. This is the problem that researchers seek to solve in the recent […]

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Issue #129 – Simultaneous MT Using Imitation Learning

06 May21 Issue #129 – Simultaneous MT Using Imitation Learning Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction For the second time in our blog series we look at Simultaneous Machine Translation (SiMT). In SiMT, translation begins before the full source input has necessarily been processed, reducing the delay as much as possible. By necessity this results in a trade off between delay and MT quality. This subject was discussed in a previous blog post. The full pipe […]

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Pytorch implementation for the Dynamic Concept Learner

DCL-PyTorch Pytorch implementation for the Dynamic Concept Learner (DCL). Prerequisites Python 3 PyTorch 1.0 or higher, with NVIDIA CUDA Support Other required python packages specified by requirements.txt. See the Installation. Installation Install Jacinle: Clone the package, and add the bin path to your global PATH environment variable: git clone https://github.com/vacancy/Jacinle –recursive export PATH=/bin:$PATH Clone this repository: git clone https://github.com/zfchenUnique/DCL-Release.git –recursive Create a conda environment for NS-CL, and install the requirements. This includes the required python packagesfrom both Jacinle NS-CL. Most […]

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Python and OpenCV-based scene cut/transition detection program & library

PySceneDetect Video Scene Cut Detection and Analysis Tool. Quick Install: To install PySceneDetect via pip with all dependencies: pip install scenedetect[opencv] For servers, you can use the headless (non-GUI) version of OpenCV by installing scenedetect[opencv-headless]. To enable video splitting support, you will also need to have mkvmerge or ffmpeg installed – see the documentation on Video Splitting Support for details. Requires Python modules click, numpy, OpenCV cv2, and (optional) tqdm for displaying progress. For details, see the dependencies on the […]

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WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

Abstract We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 96 languages, including several dialects or low-resource languages. We systematically consider all possible language pairs. In total, we are able to extract 135M parallel sentences for 1620 different language pairs, out of which only 34M are aligned with English. This corpus is freely available. To get an indication on the quality of the extracted bitexts, we train neural […]

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Autoregressive Entity Retrieval

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy I Agree  

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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

May 3, 2021 By: Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oğuz Abstract We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datasets, HotpotQA and multi-evidence FEVER. Contrary to previous work, our method does not require access to any corpus-specific information, such as inter-document hyperlinks or human-annotated entity markers, and can be […]

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Natural Language Processing With Python’s NLTK Package

Natural language processing (NLP) is a field that focuses on making natural human language usable by computer programs. NLTK, or Natural Language Toolkit, is a Python package that you can use for NLP. A lot of the data that you could be analyzing is unstructured data and contains human-readable text. Before you can analyze that data programmatically, you first need to preprocess it. In this tutorial, you’ll take your first look at the kinds of text preprocessing tasks you can […]

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Advancing Excel as a programming language with Andy Gordon and Simon Peyton Jones

Episode 120 | May 5, 2021  Today, people around the globe—from teachers to small-business owners to finance executives—use Microsoft Excel to make sense of the information that occupies their respective worlds, and whether they realize it or not, in doing so, they’re taking on the role of programmer.  In this episode, Senior Principal Research Manager Andy Gordon, who leads the Calc  

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A python script and steps to display locations of peers connected to qbittorrent

qbittorrent-peers-location-grafana A python script (along with instructions) to display the locations of all the peers your qBittorrent client is connected to in a Grafana worldmap dashboard. Pre-requisites Steps First step is to create the database which will contain the information about the IP addresses and their corresponding locations. I used this “https://lite.ip2location.com/database/ip-country-region-city-latitude-longitude” since it is free and it had the latitude and longitude information which is enough precision to pipoint a peer on the map. Download the IPV4 CSV file […]

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