生物芯片，大有可为

Core Viewpoint - The article discusses the emerging field of organoid intelligence, which combines lab-grown neurons with machine learning to create a new form of computation that could potentially reduce the energy demands of artificial intelligence systems and enhance their learning capabilities [2][3]. Group 1: Energy Demand of AI - The energy demand of artificial intelligence is expected to double in the next five years, reaching 3% of global electricity consumption [1][2]. - Training and running large language models consume significant amounts of electricity, highlighting the need for more efficient processing methods [2][3]. Group 2: Organoid Intelligence - Organoid intelligence refers to the integration of lab-grown neurons into hardware systems, potentially surpassing the efficiency and adaptability of traditional silicon-based processors like CPUs and GPUs [2][3]. - The concept of "brain-like chips" was introduced at the UN summit on AI for humanity, where researchers discussed the latest advancements in biochips that combine neural organoids with advanced hardware [1][3]. Group 3: Biochip Development - The biochip technology aims to simulate the brain's three-dimensional structure, allowing for more complex interconnections than traditional flat silicon chips [5][6]. - Researchers are developing a 3D EEG shell that wraps around organoids to enhance stimulation and recording capabilities, facilitating better interaction with neural activity [6]. Group 4: Applications and Future Prospects - Biochips have potential applications in disease modeling and drug testing, allowing researchers to observe responses to treatments in lab-grown neural tissues [7]. - The development of biochips controlled micro-automated vehicles demonstrates their capability as controllers, indicating future applications in robotics and bio-integrated implants [6][7]. Group 5: Challenges and Industry Movement - Significant challenges remain, including the fragility and high maintenance costs of biochips, as well as the need for biocompatible materials and technologies for practical applications [9]. - Companies like FinalSpark are exploring the potential of biochips for data storage and computation, aiming to develop remote-access biological servers within a decade [9].