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Brenda Rubenstein: Storage and Computing with Small Molecules: A Tutorial

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Conteúdo fornecido por The Molecular Programming Interest Group. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por The Molecular Programming Interest Group ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For our first event, Brenda Rubenstein has presented a tutorial on her lab's approach to storage and computation, making use of the chemical properties of a variety of types of small molecules. This was a real tour-de-force, and is worth a watch. Be sure to listen to our subsequent Q&A session in a couple episodes time!

Abstract: As transistors near the size of molecules, computer engineers are increasingly finding themselves asking a once idle question: how can we store information in and compute using chemistry? While molecular storage and computation have traditionally leveraged the sequence diversity of polymers such as DNA, our team has recently demonstrated that vast amounts of information can also be stored in unordered mixtures of small molecules. In this tutorial, I will begin by explaining this new, more general molecular storage paradigm and how polymers fit into it. I will then describe how our team has married combinatorial chemical synthesis with high resolution spectrometry to experimentally realize this paradigm and store GBs of information in small molecules and metabolites. Lastly, I will end with a discussion of how these storage principles can be combined with machine learning techniques to realize fully molecular neural networks for pattern recognition and image processing. The new paradigm discussed in this tutorial will lend itself to new means of increasing molecular storage capacity and interpreting the many small molecule chemistries that underlie "computing" within the body.

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Find more information at the episode page here:
https://podcast.molpi.gs/media/rubenstein-b-2b86de754345/

  continue reading

28 episódios

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iconCompartilhar
 
Manage episode 286420785 series 2836862
Conteúdo fornecido por The Molecular Programming Interest Group. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por The Molecular Programming Interest Group ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For our first event, Brenda Rubenstein has presented a tutorial on her lab's approach to storage and computation, making use of the chemical properties of a variety of types of small molecules. This was a real tour-de-force, and is worth a watch. Be sure to listen to our subsequent Q&A session in a couple episodes time!

Abstract: As transistors near the size of molecules, computer engineers are increasingly finding themselves asking a once idle question: how can we store information in and compute using chemistry? While molecular storage and computation have traditionally leveraged the sequence diversity of polymers such as DNA, our team has recently demonstrated that vast amounts of information can also be stored in unordered mixtures of small molecules. In this tutorial, I will begin by explaining this new, more general molecular storage paradigm and how polymers fit into it. I will then describe how our team has married combinatorial chemical synthesis with high resolution spectrometry to experimentally realize this paradigm and store GBs of information in small molecules and metabolites. Lastly, I will end with a discussion of how these storage principles can be combined with machine learning techniques to realize fully molecular neural networks for pattern recognition and image processing. The new paradigm discussed in this tutorial will lend itself to new means of increasing molecular storage capacity and interpreting the many small molecule chemistries that underlie "computing" within the body.

---
Find more information at the episode page here:
https://podcast.molpi.gs/media/rubenstein-b-2b86de754345/

  continue reading

28 episódios

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