Abstract: A method can include establishing, by a computing system, a secure electronic network connection to an electronic agent running configured to access the dataset to dynamically generate the metadata related to the dataset on a client computing system. A method can include receiving, by the computing system, from the electronic agent via the secure electronic network connection, metadata related to a dataset, the metadata comprising a plurality of attributes of the dataset and a summary of the dataset. A method can include applying a valuation model to the metadata to determine an estimated value of the dataset, the valuation model comprising a machine learning model trained using marketplace data comprising sales prices and attributes of one or more datasets, wherein the model is trained to output the sales prices of the one or more datasets. A method can include determining, an estimated value of the dataset.

Abstract: In the present invention, an improved synchronous PLA circuit is disclosed. The PLA circuit is responsive to a single clock cycle. The PLA circuit has no internal or output glitches. Further, the PLA circuit uses less power since there are no internal or output glitches. The PLA circuit requires less area since metal lines do not have to carry as much power and do not have to be as wide as the prior art PLA circuits. Since less power is used, long term reliability is improved due to reduced heating stress and reduced current density stress (metal electromigration, etc.). The PLA circuit consists of two logic arrays and four dummy signal delay lines. When a clock signal gates the input signals into the logic array, it also simultaneously generates a dummy signal. The dummy signal propagates through adjacent dummy signal delay lines that parallel each logic array dimension and match the longest or worst case, delay through the logic array.