The first time I learned about LSTMs, my eyes glazed over. [latexpage] Not in a good, jelly donut kind of way. It turns out LSTMs are a fairly simple extension to neural networks, and they're behind a lot of the amazing achievements deep learning has made in the past few years. So I'll try to present them as intuitively as possible – in such a way that you could have … [Read more...] about Exploring LSTMs: Understanding Basics (Part One)
Research
Humans Need Not Apply: MIT Teaches Robots To Train Each Other
Despite substantial recent advances in both software and hardware, robots still have difficulty planning and carrying out multi-step dexterous manipulation tasks. Yet real-world applications of such dexterity include critical situations, like explosive ordnance disposal and disaster response, considered too dangerous for humans. Typically, robots are programmed using one of … [Read more...] about Humans Need Not Apply: MIT Teaches Robots To Train Each Other
Dope Learning: AI Can Now Best Rappers With “Deep Beats”
Rapping is no easy feat. In-demand artists like Sean "Diddy" Combs and Jay Z bring home fortunes to the tune of $735 and $550 million respectively for their stylish flow. That kind of dough can buy you ~3,600,000 bottles at any hot club. Or ~816 million hours of GPU server time from AWS. Depends on your priorities. But Dr. Dre better watch out, because a bunch of Finnish … [Read more...] about Dope Learning: AI Can Now Best Rappers With “Deep Beats”
4 Approaches To Natural Language Processing & Understanding
In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as “move the red pyramid next to the blue cube.” To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and … [Read more...] about 4 Approaches To Natural Language Processing & Understanding
This Algorithm Predicts If You’ll Vote Democrat or Republican
As demonstrated from the polling failures from our last elections, human-driven statistical analysis is prone to bias, overconfidence, and errors. Perhaps computer algorithms can do a better job of accurately predicting political bias? One unique approach, from renowned computer vision expert Fei Fei Li, applies deep learning to Google Street View data and … [Read more...] about This Algorithm Predicts If You’ll Vote Democrat or Republican