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Gamalon Invents and Commercializes Radical New Approach to AI

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by Angela Guess

According to a recent press release, “Today, Gamalon, Inc. emerged from stealth mode to announce that it has developed a game-changing new approach to artificial intelligence/machine learning called Bayesian Program Synthesis (BPS). Gamalon’s BPS technology – for the first time – writes and rewrites its own Bayesian programs. This technology achieves higher accuracy and uses orders of magnitude less computation and training data relative to today’s state-of-the-art deep machine learning. Using BPS, Gamalon is announcing the alpha launch of its first commercial application of this technology, Gamalon Structure and Gamalon Match. Gamalon Structure converts streams of text paragraphs found in databases or documents, into clean, structured data rows ready for use in the enterprise. Gamalon Match can then deduplicate/link these data rows.”

The release goes on, “Gamalon’s pre-alpha customers are already using the product to accomplish in minutes with twice the accuracy what previously took large teams of people months or even years. The process of generating these results was observed and verified by an independent third party, Galois, Inc. ‘We have one customer that, every year, spent nine months and four million dollars to structure and match their data,’ said Gamalon’s founder and CEO, Ben Vigoda. ‘In contrast, Gamalon was able to perform the same task in minutes with twice the accuracy. Almost every enterprise that we talk to has large quantities of unstructured text data that they are currently unable to use, so we are very excited to see where this first product can take us’.”

Read more at Business Wire.

Photo credit: Gamalon

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