engine


The Engine announces investments in first group of startups

MIT News

The Engine, founded last year by MIT, today announced investments its first group of seven startups that are developing innovations poised for transformative impact on aerospace, renewable energy, synthetic biology, medicine, and other sectors. To genetically engineer organisms, scientists expose cells to an electric field, which opens pores within the cell membrane, allowing customized DNA to flow into the cell. Buie and his Kytopen co-founder, MIT research scientist Paulo Garcia, developed a microfluidics device that shocks cells continuously. "Anyone in the energy industry will recognize that turning renewable energy into baseload electricity available all day, every day, is an extremely ambitious goal," Chiang says.


ElasticSearch and Lucene for Apache Spark and MLib

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Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene. It is developed alongside a data collection and log parsing engine called Logstash, and an analytics and visualization platform called Kibana.


Object Detection: An Overview in the Age of Deep Learning

@machinelearnbot

There's no shortage of interesting problems in computer vision, from simple image classification to 3D-pose estimation. Similar to classification, localization finds the location of a single object inside the image. Going one step further from object detection we would want to not only find objects inside an image, but find a pixel by pixel mask of each of the detected objects. Object detection is the problem of finding and classifying a variable number of objects on an image.


New AI Can Develop Video Games Just by Watching Gameplay

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But this new AI, developed by researchers at Georgia Institute of Technology with the help of the original NES game Super Mario Bros., is capable of building a video game just by watching gameplay. In a new study, "Game Learning Engine from Video," researchers explained how the AI managed to recreate the engine of Mario's most famous outing. Instead, the team hopes that this AI will be able to aid developers in an effort to "speed up game development and experiment with different styles of play," according to a recent press release. And this AI does work quickly - the team recorded that the system only had to observe two minutes of Super Mario Bros. gameplay before it was able to build its own version of the game.


We are making on-device AI ubiquitous

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You may have heard this vision or may think that AI is really about big data and the cloud, and yet Qualcomm's solutions already have the power, thermal, and processing efficiency to run powerful AI algorithms on the actual device -- which brings several advantages. We've also had our own success at the ImageNet Challenge using deep learning techniques, placing as a top-3 performer in challenges for object localization, object detection, and scene classification. We have also expanded our own research and collaborated with the external AI community into other promising areas and applications of machine learning, like recurrent neural networks, object tracking, natural language processing, and handwriting recognition. As an example, at this year's F8 conference, Facebook and Qualcomm Technologies announced a collaboration to support the optimization of Caffe2, Facebook's open source deep learning framework, and the NPE framework.


Serverless predictions at scale – Yufeng G – Medium

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Google's Cloud Machine Learning Engine enables let's you create a prediction service for your TensorFlow model without any ops work. Get more time to work with your data, by going from a trained model to a deployed, auto-scaling prediction service in a matter minutes. Over time, as your model improves, you can continue to produce updated exported models, thus providing multiple versions of your model over time. Here you have two primary options: use TensorFlow Serving, or the Cloud Machine Learning Engine prediction service.


Artificial Intelligence Is Learning How To Develop Games

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Researchers at Georgia Institute of Technology are developing an AI that can recreate a game engine simply by watching gameplay. This technology, as detailed in a press release, is being created in an effort to aid video game developers to "speed up game development and experiment with different styles of play." "Our AI creates the predictive model without ever accessing the game's code, and makes significantly more accurate future event predictions than those of convolutional neural networks," lead researcher Matthew Guzdial said in the release. The researchers found "the AI playing with the cloned engine proved indistinguishable compared to an AI playing the original game engine."


AI recreates video game engine after watching for 2 mins

Daily Mail

The new system can replicate the'game engine,' which dictates everything from character movement to rendering graphics, creating a cloned version that is indistinguishable from the original when played. 'The technique relies on a relatively simple search algorithm that searches through possible sets of rules that can best predict a set of frame transitions,' says Mark Riedl, associate professor of Interactive Computing and co-investigator on the project. While it may work for games like Super Mario Bros and Mega Man, the researchers say more complex games, such as Clash of Clans could pose a challenge, as they feature off-screen action. 'The technique relies on a relatively simple search algorithm that searches through possible sets of rules that can best predict a set of frame transitions,' says Mark Riedl, associate professor of Interactive Computing and co-investigator on the project.


AI Uses Less Than Two Minutes of Videogame Footage to Recreate Game Engine

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The same team first used AI and Mario Bros. gameplay video to create unique game level designs. A section of gameplay video (left) shows the original Mega Man in the "Bomberman" stage. The results: the AI playing with the cloned engine proved indistinguishable compared to an AI playing the original game engine. A section of gameplay video (left) is produced by the original Super Mario Bros. engine, and the cloned engine (right) demonstrates the ability to accurately predict animation states.


Rolls-Royce reveals autonomous naval vessel powered by artificial intelligence

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Engineering giant Rolls-Royce plans to make an autonomous navy ship, powered by artificial intelligence, sophisticated sensors and advanced propulsion, for sale to militaries throughout the world. The British company, known for its aircraft engines and luxury automotive heritage, revealed a concept version of the naval vessel in multiple photos released Tuesday. Amid increasing concern among some technologists about the prospect of self-aware artificial intelligence systems becoming a threat to humanity, Rolls-Royce said it was already conducting "significant analysis of potential cyber risks" to "ensure end-to-end security." The company said the autonomous ship would run on electrical propulsion derived from diesel engines or gas engines.