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 […]
Tag Archives: Machine learning
Chemists harness artificial intelligence to predict the future (of chemical reactions)
Eurekalert February 15, 2018 To manufacture medicines, chemists must find the right combinations of chemicals to make the necessary chemical structures. A team of researchers in the US (Princeton University, industry partner) has developed a software to accurately predict reaction yields while varying up to four reaction components. Reaction yields can be accurately predicted using the results of ‘only’ hundreds of reactions (instead of thousands). The code extracts descriptors for each chemical used in the model calculating quantitative descriptors for each chemical, to use as inputs for the model. The software can work for any reaction, any substrate. The idea […]
Deep Learning: A Critical Appraisal
Arxiv January 2, 2018 Although deep learning has historical roots going back decades, neither the term “deep learning” nor the approach was popular just over five years ago. Against a background of considerable progress in areas such as speech recognition, image recognition, and game playing, and considerable enthusiasm in the popular press, the author presents ten concerns for deep learning, and suggests that deep learning must be supplemented by other techniques if we are to reach artificial general intelligence. Read more . Open Access TECHNICAL ARTICLE