Fascinating short piece. Will this allow us to pay less attention to architecture of neural networks? Technical. Will take some time to digest. The term 'Generalized' warms your heart, but then you have to challenge: How general is it? And how stable for all problems?
Generalized Dynamical Machine Learning Posted by PG Madhavan
We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same method can be used for classification and regression (including forecasting), offline and real-time applications and simple and hard ML problems. ... "