ArXiv March 3, 2018 In this report researchers at the University of Dayton present a brief survey on the development of DL approaches, including Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network including Long Short-Term Memory and Gated Recurrent Units, Auto-Encoder, Deep Belief Network, Generative Adversarial Network, and Deep Reinforcement Learning. DL approaches explored and evaluated in different application domains are also included in this survey. Recently developed frameworks, SDKs, and benchmark datasets that are used for implementing and evaluating deep learning approaches are included… read more. Open Access TECHNICAL ARTICLE
Tag Archives: Artificial intelligence
How a yeast cell helps crack open the ‘black box’ behind artificial intelligence
Physorg March 5, 2018 An international team of researchers (USA – UC San Diego, Israel) developed what they call a “visible” neural network and used it to build DCell, a model of a functioning brewer’s yeast cell, commonly used as a model in basic research. To do this, they amassed all knowledge of cell biology in one place and created a hierarchy of these cellular components. Then they mapped standard machine learning algorithms to this knowledge base. “Learning” is guided only by real-world cellular behaviors and constraints coded from approximately 2,500 known cellular components. The team inputs information about genes […]
New algorithm can create movies from just a few snippets of text
Science Magazine February 23, 2018 Researchers in Belgium have developed a machine learning a neural network algorithm. During training, software assesses its performance after each attempt, and feedback circulates through the millions of network connections to refine future computations. The first stage uses the text to create a “gist” of the video, the second stage takes both the gist and the text and produces a short video. During training, a second network acts as a “discriminator.” As it gets better, it becomes a harsher critic, and its feedback sets a higher bar for the generator network. Currently, the videos are […]
Researchers help robots think and plan in the abstract
Eurekalert February 8, 2018 A team of researchers in the US (Brown University, MIT) there has been less progress in perceptual abstraction, which has to do with helping a robot make sense of its pixelated surroundings. They gave a robot called Ana a set of high-level motor skills for manipulating the objects in a room. Once Ana was armed with her learned abstract representation, the researchers asked her to do something that required some planning which Ana executed. According to the researchers, their research provides an important theoretical building block for applying artificial intelligence to robotics… read more. Video Open […]