Starting a Synthetic Biological Intelligence Lab from Scratch
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | arXiv.org (Dec 18, 2024), p. n/a |
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| Prif Awdur: | |
| Awduron Eraill: | , , , , , , , , , , , |
| Cyhoeddwyd: |
Cornell University Library, arXiv.org
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| Pynciau: | |
| Mynediad Ar-lein: | Citation/Abstract Full text outside of ProQuest |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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MARC
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|---|---|---|---|
| 001 | 3147267226 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3147267226 | ||
| 045 | 0 | |b d20241218 | |
| 100 | 1 | |a Md Sayed Tanveer | |
| 245 | 1 | |a Starting a Synthetic Biological Intelligence Lab from Scratch | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 18, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a With the recent advancements in artificial intelligence, researchers and industries are deploying gigantic models trained on billions of samples. While training these models consumes a huge amount of energy, human brains produce similar outputs (along with other capabilities) with massively lower data and energy requirements. For this reason, more researchers are increasingly considering alternatives. One of these alternatives is known as synthetic biological intelligence, which involves training \textit{in vitro} neurons for goal-directed tasks. This multidisciplinary field requires knowledge of tissue engineering, bio-materials, digital signal processing, computer programming, neuroscience, and even artificial intelligence. The multidisciplinary requirements make starting synthetic biological intelligence research highly non-trivial and time-consuming. Generally, most labs either specialize in the biological aspects or the computational ones. Here, we propose how a lab focusing on computational aspects, including machine learning and device interfacing, can start working on synthetic biological intelligence, including organoid intelligence. We will also discuss computational aspects, which can be helpful for labs that focus on biological research. To facilitate synthetic biological intelligence research, we will describe such a general process step by step, including risks and precautions that could lead to substantial delay or additional cost. | |
| 653 | |a Tissue engineering | ||
| 653 | |a Energy requirements | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Digital computers | ||
| 653 | |a Digital signal processing | ||
| 653 | |a Machine learning | ||
| 653 | |a Biological activity | ||
| 653 | |a Alternative energy sources | ||
| 653 | |a Computer programming | ||
| 700 | 1 | |a Patel, Dhruvik | |
| 700 | 1 | |a Schweiger, Hunter E | |
| 700 | 1 | |a Kwaku Dad Abu-Bonsrah | |
| 700 | 1 | |a Watmuff, Brad | |
| 700 | 1 | |a Azadi, Azin | |
| 700 | 1 | |a Pryshchep, Sergey | |
| 700 | 1 | |a Narayanan, Karthikeyan | |
| 700 | 1 | |a Puleo, Christopher | |
| 700 | 1 | |a Natarajan, Kannathal | |
| 700 | 1 | |a Mostajo-Radji, Mohammed A | |
| 700 | 1 | |a Kagan, Brett J | |
| 700 | 1 | |a Wang, Ge | |
| 773 | 0 | |t arXiv.org |g (Dec 18, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3147267226/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.14112 |