All tagged deep learning

Artificial Intelligence News

There is so much exciting stuff happening in the world of A.I. that I can't cover it all, but I do usually share the most interesting and important AI news here on a sometimes daily basis. You can also follow the AI News on Bloglovin'. If you would like to contribute an article to these AI News, please consider using my services. There is also a full archive of AI news articles available, too.

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The Meta Model and Meta Meta-Model of Deep Learning

It is my suspicion though that this meta meta-model approach if pursued in greater detail may the key in locking “Unsupervised learning” or alternatively “Predictive learning” . Perhaps our puny human brains cannot figure this out. However armed with meta-learning capabilities, it may be possible for machines to continually self improve upon themselves. The reason that this may not work however is that the vocabulary or language is not available and furthermore somehow not derivable through this bootstrapping method.

2016: The Year That Deep Learning Took Over the Internet

As AI evolves, the role of the computer scientist is changing. Sure, the world still needs people who can code software. But increasingly, it also needs people who can train neural networks, a very different skill that’s more about coaxing a result from the data than building something on your own. Companies like Google and Facebook are not only hiring a new kind of talent, but also reeducating their existing employees for this new future - a future where AI will come to define technology in the lives of just about everyone.

Deep Learning for Detection of Diabetic Eye Disease

Diabetic retinopathy (DR) is the fastest growing cause of blindness, with nearly 415 million diabetic patients at risk worldwide. If caught early, the disease can be treated; if not, it can lead to irreversible blindness. Unfortunately, medical specialists capable of detecting the disease are not available in many parts of the world where diabetes is prevalent. We believe that Machine Learning can help doctors identify patients in need, particularly among underserved populations.