There’s a brand new algorithm for natural language search (NLS) and natural language understanding (NLU) that not only outperforms traditional RNN/LSTM or even CNN algos, but is self-training and doesn’t require labeled training data. Sounds almost too good to be true but the original results are quite impressive.
Calibrated Quantum Mesh (CQM) is the handiwork of Praful Krishna and his team at Coseer in the bay area. While the company is still small they have been working with several Fortune 500 companies and have started making the rounds of the technical conferences. Read More
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