Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Ghahramani, Z. and Jordan, M.I. (1997) Factorial Hidden Markov Models. Machine Learning, ... creating AI training opportunities (for example, the local media reported Microsoft and Google plan to ...

We propose a new algorithm for obtaining PFSAs models based on variable length Markov chains, machine learning algorithms and graph minimization techniques. To validate the algorithm, we provide ...

Time series are the natural way for accessing information about dynamical systems or processes in a variety of scientific, engineering and financial applications. Due to their complexity, the use of ...

The underlying physical mechanisms in inertial microfluidics are not fully understood and are the subject of ongoing research. In particular, it may be the case that current numerical models are ...

The machine learning models demonstrated competitive accuracy and ROC AUC scores, with the Gradient Boosting model leading in overall performance. The LSTM Neural Network, representing the deep ...

Markov state models (MSM) are a popular statistical method for analyzing the conformational dynamics of proteins including protein folding. With all statistical and machine learning (ML) models, ...