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Memkite announces Deep Learning and Search for Education

Deep Learning is setting new records in AI-based image recognition, and we’ve combined Deep Learning with Memkite (Offline) Search for mobile in an educational context.

Check out http://deeplearning.education for a demo video of Deep Learning for Education.

The basic idea is that kids get used to working with Artificial Intelligence since it is highly likely they will in the future. The task the kids is as follows: 1) read and find an object (e.g. using Wikipedia or a curriculum such as Common Core others that is indexed and searchable using Memkite)

2) film the object from various angles in order to build a Deep Learning based Image classifier for it

3) share the classifier with other kids and teacher, e.g. using a mesh network between mobile devices if there is no or poor network available

4) use a set of deep learning classifiers to detect objects in nature and learn about them

This can of course be adapted to other settings than nature (e.g. urban areas, museums, healthcare, inside classroom).

Please let us know if this is of interest.

Best regards,

Amund Tveit


About Amund Tveit (@atveit - amund@memkite.com)

Amund Tveit works in Memkite on developing large-scale Deep Learning and Search (Convolutional Neural Network) with Swift and Metal for iOS (see deeplearning.education for a Memkite app video demo). He also maintains the deeplearning.university bibliography (github.com/memkite/DeepLearningBibliography)

Amund previously co-founded Atbrox , a cloud computing/big data service company (partner with Amazon Web Services), also doing some “sweat equity” startup investments in US and Nordic startups. His presentations about Hadoop/Mapreduce Algorithms and Search were among top 3% of all SlideShare presentations in 2013 and his blog posts has been frequently quoted by Big Data Industry Leaders and featured on front pages of YCombinator News and Reddit Programming

He previously worked for Google, where he was tech.lead for Google News for iPhone (mentioned as “Google News Now Looks Beautiful On Your iPhone” on Mashable.com), lead a team measuring and improving Google Services in the Scandinavian Countries (Maps and Search) and worked as a software engineer on infrastructure projects. Other work experience include telecom (IBM Canada) and insurance/finance (Storebrand).

Amund has a PhD in Computer Science. His publications has been cited more than 500 times. He also holds 4 US patents in the areas of search and advertisement technology, and a pending US patent in the area of brain-controlled search with consumer-level EEG devices.

Amund enjoys coding, in particular Python, C++ and Swift (iOS)

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