Rahul  Hickle

Rahul Hickle

1594455136

Deep Dive into Facebook’s AI Transcoder

Deep dive into Facebook’s AI Transcoder
Just over a week, most of you would have heard that Facebooks AI research team (FAIR) developed a neural transcompiler, that converts code from high level programming language like C++, Python, Java, Cobol into another language using ‘unsupervised translation’ . The traditional approach had been to tokenize the source language and convert it into an Abstract Syntax Tree (AST) which the transcompiler would use to translate to the target language of choice, based on handwritten rules that define the translations, such that abstract or the context is not lost. Over the decades, there has been such significant advances in the neural language translation that these neural models tend to outperform hard-coded handwritten rules by significant margin, though the only constraint has been the availability of sufficient parallel Corpora. This has been addressed to greater extent by the ‘Unsupervised ML translation’ approach, wherein a large corpora of monolingual source code, in different programming languages from Github was used to train the model by the Facebook’s Research team.

What we have seen from the Facebook AI research (FAIR) is giant leap towards the machine code translation. Though this may be in its nascent stages, there is definitely huge potential, which can translate into billions of dollars in saved revenue, less human intervention and less susceptibility to errors. Though they may be far from perfect, for now, they can assist humans by doing most of the heavy lifting in code translation and who knows, we may have the perfect transcoder in the near future.
Thanks for reading this article.

#machine-learning-ai-news #transcoder #machine-learning #machine-learning-ai #nlp

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Buddha Community

Deep Dive into Facebook’s AI Transcoder
Rahul  Hickle

Rahul Hickle

1594455136

Deep Dive into Facebook’s AI Transcoder

Deep dive into Facebook’s AI Transcoder
Just over a week, most of you would have heard that Facebooks AI research team (FAIR) developed a neural transcompiler, that converts code from high level programming language like C++, Python, Java, Cobol into another language using ‘unsupervised translation’ . The traditional approach had been to tokenize the source language and convert it into an Abstract Syntax Tree (AST) which the transcompiler would use to translate to the target language of choice, based on handwritten rules that define the translations, such that abstract or the context is not lost. Over the decades, there has been such significant advances in the neural language translation that these neural models tend to outperform hard-coded handwritten rules by significant margin, though the only constraint has been the availability of sufficient parallel Corpora. This has been addressed to greater extent by the ‘Unsupervised ML translation’ approach, wherein a large corpora of monolingual source code, in different programming languages from Github was used to train the model by the Facebook’s Research team.

What we have seen from the Facebook AI research (FAIR) is giant leap towards the machine code translation. Though this may be in its nascent stages, there is definitely huge potential, which can translate into billions of dollars in saved revenue, less human intervention and less susceptibility to errors. Though they may be far from perfect, for now, they can assist humans by doing most of the heavy lifting in code translation and who knows, we may have the perfect transcoder in the near future.
Thanks for reading this article.

#machine-learning-ai-news #transcoder #machine-learning #machine-learning-ai #nlp

Murray  Beatty

Murray Beatty

1598606037

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

Articles

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Marget D

Marget D

1618317562

Top Deep Learning Development Services | Hire Deep Learning Developer

View more: https://www.inexture.com/services/deep-learning-development/

We at Inexture, strategically work on every project we are associated with. We propose a robust set of AI, ML, and DL consulting services. Our virtuoso team of data scientists and developers meticulously work on every project and add a personalized touch to it. Because we keep our clientele aware of everything being done associated with their project so there’s a sense of transparency being maintained. Leverage our services for your next AI project for end-to-end optimum services.

#deep learning development #deep learning framework #deep learning expert #deep learning ai #deep learning services