Neuromorphic Computing: Cutting-Edge Advances and Future Directions DOI

Girish U. Kamble,

Chandrashekhar S. Patil,

Vidya V. Alman

и другие.

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Neuromorphic computing draws motivation from the human brain and presents a distinctive substitute for traditional von Neumann architecture. systems provide simultaneous data analysis, energy efficiency, error resistance by simulating neural networks. They promote innovations in eHealth, science, education, transportation, smart city planning, metaverse, spurred on deep learning artificial intelligence. However, performance-focused thinking frequently ignores sustainability, emphasizing need harmony. Three primary domains comprise neuromorphic research: computing, which investigates biologically inspired processing alternative algorithms; devices, utilize electronic photonic advancements to fabricate novel nano-devices; engineering, replicates mechanisms using CMOS post-CMOS technological advances. This chapter will discuss current state of approach, established upcoming technologies, material challenges, breakthrough concepts, advanced stage emerging technologies. Along with software algorithmic spike networks (SNNs) algorithms, it cover hardware improvements, such as memristors, synaptic processors. We investigate applications robotics, autonomous systems, edge Internet Things (IoT), sensory systems. In conclusion, future challenges possibilities, major findings new research directions.

Язык: Английский

Non-Invasive Detection of Tumors by Volatile Organic Compounds in Urine DOI Creative Commons

Tomoaki Hara,

Sikun Meng,

Yasuko Arao

и другие.

Biomedicines, Год журнала: 2025, Номер 13(1), С. 109 - 109

Опубликована: Янв. 6, 2025

Cancer is one of the major causes death, and as it becomes more malignant, an intractable disease that difficult to cure completely. Therefore, early detection important increase survival rate. For this reason, testing with blood biomarkers currently common. However, in order accurately diagnose early-stage cancer, new diagnostic methods enable highly accurate diagnosis are needed. This review summarizes recent studies on cancer biomarker detection. In particular, we focus analysis volatile organic compounds (VOCs) urine development using olfactory receptors living organisms. Urinary samples from patients contain a wide variety VOCs, identification specific underway. It has also been found sense organisms can distinguish cancer-specific odors, which may be applicable diagnosis. We explore possibility novel candidates methods.

Язык: Английский

Процитировано

1

An insect-based bioelectronic sensing system combining flexible dual-sided microelectrode array and insect olfactory circuitry for human lung cancer detection. DOI
Xiang Liu, Simon Sanchez, Yan Gong

и другие.

Biosensors and Bioelectronics, Год журнала: 2025, Номер 281, С. 117356 - 117356

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

1

Multi-shank flexible implantable neural interface for long-term olfactory neuron recording toward odor perception DOI

Qunchen Yuan,

Jiale Wang, Chunlian Qin

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер 514, С. 162987 - 162987

Опубликована: Апрель 26, 2025

Язык: Английский

Процитировано

0

Volatile Organic Compounds in Biological Matrices as a Sensitive Weapon in Cancer Diagnosis DOI Creative Commons
Arya Ghosh, Varnita Karmakar, Anroop B. Nair

и другие.

Pharmaceuticals, Год журнала: 2025, Номер 18(5), С. 638 - 638

Опубликована: Апрель 27, 2025

Diagnosis and intervention at the earliest stages of cancer are imperative for maximizing patient recovery outcomes substantially increasing survival rates quality life. Recently, to facilitate diagnosis, volatile organic compounds (VOCs) have shown potential with unique characteristics as biomarkers. Various insects sophisticated sensitivities odor can be quickly readily trained recognize such VOCs using olfactory-linked skills. Furthermore, approach analyzing made electronic noses, commonly referred e-noses. Using analytical instruments like GC-MS, LC-MS/MS, etc., chemical blends separated into their constituent parts. The significance odorant receptors in triggering neural responses ambient has received great attention last twenty years, particularly investigation insect olfaction. Sensilla, a olfactory framework, is regulated by neuronal receptor composed neuronal, non-neuronal, extracellular lymphatic fluid an effectively generated shell. This review provides in-depth exploration structural, functional, signaling mechanisms underlying detection excretory products patients, addressing current challenges VOC-based diagnostics innovative strategies advancement while also envisioning transformative role artificial systems future detection. article emphasizes recent preclinical clinical advancements VOC applications, highlighting redefine early diagnostic approaches oncology.

Язык: Английский

Процитировано

0

Use of living systems for clinical diagnostics by monitoring volatile chemicals DOI
Autumn K. McLane-Svoboda, Simon Sanchez,

Michael Parnas

и другие.

TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 117987 - 117987

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

Neuromorphic Computing: Cutting-Edge Advances and Future Directions DOI

Girish U. Kamble,

Chandrashekhar S. Patil,

Vidya V. Alman

и другие.

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Neuromorphic computing draws motivation from the human brain and presents a distinctive substitute for traditional von Neumann architecture. systems provide simultaneous data analysis, energy efficiency, error resistance by simulating neural networks. They promote innovations in eHealth, science, education, transportation, smart city planning, metaverse, spurred on deep learning artificial intelligence. However, performance-focused thinking frequently ignores sustainability, emphasizing need harmony. Three primary domains comprise neuromorphic research: computing, which investigates biologically inspired processing alternative algorithms; devices, utilize electronic photonic advancements to fabricate novel nano-devices; engineering, replicates mechanisms using CMOS post-CMOS technological advances. This chapter will discuss current state of approach, established upcoming technologies, material challenges, breakthrough concepts, advanced stage emerging technologies. Along with software algorithmic spike networks (SNNs) algorithms, it cover hardware improvements, such as memristors, synaptic processors. We investigate applications robotics, autonomous systems, edge Internet Things (IoT), sensory systems. In conclusion, future challenges possibilities, major findings new research directions.

Язык: Английский

Процитировано

0