This deep dive is all about neural networks - training them using best practices, debugging them and maximizing their performance using cutting edge research.
Students in the future will be able to personalise their learning while teachers can monitor their engagement and behaviour, according to ed-tech experts. Opening the EdTechX conference in London today, Benjamin Vedrenne-Cloquet said the future of education lies with artificial intelligence and deep learning, citing the movement towards data and "deep tech" in new ed-tech companies, away from the "lighter tech" of digitisation of content seen at the beginning of the decade.
H. Lin, M. Tegmark, and D. Rolnick. (2016)cite arxiv:1608.08225Comment: Replaced to match version published in Journal of Statistical Physics: https://link.springer.com/article/10.1007/s10955-017-1836-5 Improved refs & discussion, typos fixed. 16 pages, 3 figs.
Y. Burda, H. Edwards, D. Pathak, A. Storkey, T. Darrell, and A. Efros. (2018)cite arxiv:1808.04355Comment: First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/.