The Edge of Sentience

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: July 19, 2024

Abstract Can octopuses feel pain and pleasure? What about crabs, shrimps, insects, or spiders? How do we tell whether a person unresponsive after severe brain injury might be suffering? When does fetus in the womb start to have conscious experiences? Could there even rudimentary feelings miniature models of human brain, grown from stem cells? And what AI? These are questions edge sentience, they subject enormous, disorienting uncertainty. The stakes immense, neglecting risks can terrible costs. We need err on side caution, yet it’s often far clear ‘erring caution’ should mean practice. going too far? not doing enough? Edge Sentience presents comprehensive precautionary framework designed help us reach ethically sound, evidence-based decisions despite our

Language: Английский

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Humanized brain organoids-on-chip integrated with sensors for screening neuronal activity and neurotoxicity

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(1)

Published: Jan. 1, 2024

Language: Английский

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Harnessing the power of artificial intelligence for human living organoid research

Bioactive Materials, Journal Year: 2024, Volume and Issue: 42, P. 140 - 164

Published: Aug. 30, 2024

As a powerful paradigm, artificial intelligence (AI) is rapidly impacting every aspect of our day-to-day life and scientific research through interdisciplinary transformations. Living human organoids (LOs) have great potential for

Language: Английский

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Open and remotely accessible Neuroplatform for research in wetware computing

Frontiers in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7

Published: May 2, 2024

Wetware computing and organoid intelligence is an emerging research field at the intersection of electrophysiology artificial intelligence. The core concept involves using living neurons to perform computations, similar how Artificial Neural Networks (ANNs) are used today. However, unlike ANNs, where updating digital tensors (weights) can instantly modify network responses, entirely new methods must be developed for neural networks biological neurons. Discovering these challenging requires a system capable conducting numerous experiments, ideally accessible researchers worldwide. For this reason, we hardware software that allows electrophysiological experiments on unmatched scale. Neuroplatform enables run organoids with lifetime even more than 100 days. To do so, streamlined experimental process quickly produce organoids, monitor action potentials 24/7, provide electrical stimulations. We also designed microfluidic fully automated medium flow change, thus reducing disruptions by physical interventions in incubator ensuring stable environmental conditions. Over past three years, was utilized over 1,000 brain enabling collection 18 terabytes data. A dedicated Application Programming Interface (API) has been conduct remote directly via our Python library or interactive compute such as Jupyter Notebooks. In addition operations, API controls pumps, cameras UV lights molecule uncaging. This execution complex 24/7 including closed-loop strategies processing latest deep learning reinforcement libraries. Furthermore, infrastructure supports use. Currently 2024, freely available purposes, groups have begun it their experiments. article outlines system’s architecture provides specific examples results.

Language: Английский

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Editorial: Intersection between the biological and digital: synthetic biological intelligence and organoid intelligence

Frontiers in Cellular Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 8, 2025

At its core, synthetic biological intelligence seeks to enhance the functionality of systems by integrating artificial (AI) technologies. Organoid Intelligence (OI) (Smirnova et al., 2023), a subset SBI, demonstrates potential revolutionize biomedical research leveraging organoids-miniature, lab-grown versions human organs derived from stem cells-as computational models. These models o^er unparalleled insights into biology and disease mechanisms. This Research Topic is part attempts establishing community realize this promise (Morales Patoja 2023;Hartung 2023).The ability use organoids as personalized significant advancement.They provide platform test drug e^icacy toxicity in patient-specific contexts, moving us closer truly individualized medicine. Moreover, model rare diseases genetic disorders, which often lack e^ective animal or in-vitro analogs, underscores societal medical value research.While SBI OI immense, field faces several challenges. starts with common nomenclature, aka ontology (Kagan 2024). Reproducibility models, e^iciency AI algorithms interpreting complex data, integration these existing clinical pipelines remain hurdles. Additionally, interfacing controlling bioengineering perspective still largely uncharted.The presented that challenges are not insurmountable. Innovative experimental frameworks novel inspired in-silico solutions roadmap for overcoming barriers. Engineering advancements interfaces hardware will further accelerate progress domain.As we stand on brink creating living, thinking merge digital realms, ethical considerations paramount. The implications extend beyond medicine broader concerns, including privacy, consent, security data. topics require multidisciplinary dialogue establishment robust frameworks.This highlights transformative combining intelligence. It lays groundwork future exploration themes such unconventional computing, modeling, engineering. As evolve, they redefine our understanding push boundaries what possible technology medicine.As Editors, breadth work showcased collection passion researchers contributing burgeoning field. With continued collaboration, innovation, stewardship, organoid undoubtedly approach solving

Language: Английский

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Harnessing Intelligence from Brain Cells In Vitro

The Neuroscientist, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Harnessing intelligence from brain cells in vitro requires a multidisciplinary approach integrating wetware, hardware, and software. Wetware comprises the themselves, where differentiation induced pluripotent stem offers ethical scalability; hardware typically involves life support system setup to record activity deliver stimulation cells; software is required control process signals coming going cells. This review provides broad summary of foundational technologies underpinning these components, along with outlining importance technology integration. Of particular that this new ability extend beyond traditional methods assess primarily survival spontaneous neural cultures. Instead, focus returns core function tissue: neurocomputational information respond accordingly. Therefore, also covers work that, despite relatively early state current technology, has provided novel meaningful understandings field neuroscience opening exciting avenues for future research.

Language: Английский

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The technology, opportunities, and challenges of Synthetic Biological Intelligence

Biotechnology Advances, Journal Year: 2023, Volume and Issue: 68, P. 108233 - 108233

Published: Aug. 7, 2023

Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized advantages biological systems in some information processing tasks. However, neither technology behind this development, nor potential ethical opportunities or challenges, been explored detail yet. Here, we review aspects that facilitate SBI and explore applications. Considering these foreseeable use cases, various implications are proposed. Ultimately, work aims to provide a robust framework structure considerations ensure can be both researched applied responsibly.

Language: Английский

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Realizing Molecular Machine Learning Through Communications for Biological AI

IEEE Nanotechnology Magazine, Journal Year: 2023, Volume and Issue: 17(3), P. 10 - 20

Published: April 13, 2023

Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of society, where they playing a crucial role in numerous facets our lives. As we witness increased deployment AI ML various types devices, benefit from use energy-efficient algorithms for low powered devices. In this paper, investigate scale medium that is far smaller than conventional devices as move towards molecular systems can be utilized to perform machine learning functions, i.e., Molecular (MML). Fundamental operation MML transport, processing, interpretation information propagated by molecules through chemical reactions. We begin reviewing current approaches have been developed MML, before potential new directions rely on gene regulatory networks inside biological organisms, well population interactions create neural networks. then mechanisms training structures cells based calcium signaling demonstrate application build an Analog Digital Converter (ADC). Lastly, look at future directions, challenges area could solve.

Language: Английский

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Organoid intelligence (OI) – The ultimate functionality of a brain microphysiological system

ALTEX, Journal Year: 2023, Volume and Issue: unknown, P. 191 - 203

Published: Jan. 1, 2023

Understanding brain function remains challenging as work with human and animal models is complicated by compensatory mechanisms, while in vitro have been too simple until now. With the advent of stem cells bioengineering microphysiological systems (MPS), understanding how both cognition long-term memory arise now coming into reach. We suggest combining cutting-edge AI MPS research to spearhead organoid intelligence (OI) synthetic biological intelligence. The vision realize cognitive functions scale them achieve relevant short- capabilities basic information processing ultimate functional experimental for neurodevelopment neurological cell-based assays drug chemical testing. By advancing frontiers computing, we aim (a) create intelligence-in-a-dish study basis functions, (b) provide advance search toxicants contributing diseases identify remedies maladies, (c) computational capacities complement traditional computing. Increased functionality, some respects still superior today's supercomputers, may allow imitate this neuromorphic computer architectures or might even open up computing silicon computers. At same time, raises ethical questions such where sentience consciousness start what relationship between a cell donor respective OI system is. Such discussions will be critical socially acceptable cognition.

Language: Английский

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Neuroethics and AI ethics: a proposal for collaboration

BMC Neuroscience, Journal Year: 2024, Volume and Issue: 25(1)

Published: Aug. 29, 2024

The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, the role that their long history of collaboration has played in advancing both fields often emphasized. Beyond important insights provided by collaborative development, AI raise a number ethical issues are explored neuroethics ethics. Neuroethics ethics have been gaining prominence last few decades, they typically carried out different research communities. However, considering evolving landscape AI-assisted neurotechnologies various conceptual practical intersections neuroscience-such as increasing application neuroscientific research, healthcare neurological mental diseases, use knowledge inspiration for AI-some scholars now calling these two domains. This article seeks to explore how can stimulate theoretical and, ideally, governance efforts. First, we offer some reasons reflection on innovations AI. Next, dimensions think could be enhanced cross-fertilization subfields We believe pace fusion development innovations, broad underspecified calls responsibility do not consider from will only partially successful promoting meaningful changes applications.

Language: Английский

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