- This form of probabilistic programming — a code that uses probabilities instead of specific variables — requires fewer examples to make a determination, such as, for example, that the sky is blue with patches of white clouds.
- Gamalon CEO and cofounder Ben Vigoda showed MIT Technology Review a demo drawing app that uses their new method.
- However, unlike Google’s version, which relied on sketches it had previously seen to make predictions, Gamalon’s app relies on probabilistic programming to identify an object’s key features.
- One product, the Gamalon Structure, using Bayesian program synthesis to recognize concepts from raw text, and it does so more efficiently than what’s normally possible.
- For example, if equipped with a Beysian model of machine learning, smartphones or laptops wouldn’t need to share personal data with large companies to determine user interests; the calculations could be done effectively within the device.
Teaching machines could be much easier using this tech.
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