標(biāo)題: Titlebook: Artificial Intelligence for Science (AI4S); Frontiers and Perspe Qinghai Miao,Fei-Yue Wang Book 2024 The Editor(s) (if applicable) and The [打印本頁(yè)] 作者: 極大 時(shí)間: 2025-3-21 18:10
書目名稱Artificial Intelligence for Science (AI4S)影響因子(影響力)
書目名稱Artificial Intelligence for Science (AI4S)影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence for Science (AI4S)網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence for Science (AI4S)網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence for Science (AI4S)被引頻次
書目名稱Artificial Intelligence for Science (AI4S)被引頻次學(xué)科排名
書目名稱Artificial Intelligence for Science (AI4S)年度引用
書目名稱Artificial Intelligence for Science (AI4S)年度引用學(xué)科排名
書目名稱Artificial Intelligence for Science (AI4S)讀者反饋
書目名稱Artificial Intelligence for Science (AI4S)讀者反饋學(xué)科排名
作者: MEEK 時(shí)間: 2025-3-21 22:51
2731-3743 stem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions978-3-031-67418-1978-3-031-67419-8Series ISSN 2731-3743 Series E-ISSN 2731-3751 作者: 純樸 時(shí)間: 2025-3-22 04:11
AI4S Based on Parallel Intelligence,e Parallel Intelligence perspectives for analyzing, comparing, and developing AI4S within a unified framework called HANOI-AI4S. First, a systematic introduction to Parallel Intelligence is provided, followed by the perspectives of Parallel Science, characterized by “three worlds, three ITs, three s作者: conduct 時(shí)間: 2025-3-22 07:46
AI for Mathematics,theorems and solving complex mathematical problems. These systems use techniques such as reinforcement learning, symbolic computation, genetic programming, and large language models to explore mathematical spaces and discover new patterns and relationships. AI algorithms and paradigms, like AlphaZer作者: Neuralgia 時(shí)間: 2025-3-22 11:08
AI for Physics,experiments, such as those conducted at particle accelerators or telescopes. Machine learning techniques are being used to help physicists sift through massive amounts of data to identify patterns and anomalies that may lead to new discoveries. AI is also being applied to problems in theoretical phy作者: exorbitant 時(shí)間: 2025-3-22 13:40
AI for Biology, biology, is the application of AI to protein research. Among the numerous frontiers, this chapter covers topics from accurate protein structure prediction with AlphaFold to the innovative design of functional proteins with RFdiffusion and advanced single-cell analysis with scGPT. These advancements作者: reptile 時(shí)間: 2025-3-22 18:04 作者: 精美食品 時(shí)間: 2025-3-23 00:17
AI for Chemistry,erous advancements on the topic of AI for chemistry, this chapter introduces AlphaFlow, a reinforcement learning (RL)-guided self-driving lab (SDL) that integrates machine learning with automated experimentation. Additionally, it highlights the role of large language models (LLMs) in chemical resear作者: Abnormal 時(shí)間: 2025-3-23 02:14
AI for Material Science,pment processes. One area of focus is the prediction of new materials with desirable properties, such as high strength or conductivity, by analyzing large datasets of material properties and structures. AI is also being used to optimize material synthesis processes, helping researchers identify the 作者: 膠水 時(shí)間: 2025-3-23 06:18 作者: obeisance 時(shí)間: 2025-3-23 13:22 作者: Intrepid 時(shí)間: 2025-3-23 15:37 作者: 阻撓 時(shí)間: 2025-3-23 19:35 作者: Acetabulum 時(shí)間: 2025-3-23 22:46
Handbook for the Historiography of Sciencecientists, and three modes.” The challenges of AI4S and benefits of a unified AI4S framework are then analyzed. Finally, the details of HANOI-AI4S are described, with an emphasis on human roles, organizations, and AI methods.作者: integral 時(shí)間: 2025-3-24 04:28 作者: MAG 時(shí)間: 2025-3-24 07:31 作者: Creditee 時(shí)間: 2025-3-24 10:48 作者: 沙文主義 時(shí)間: 2025-3-24 15:03 作者: 沒(méi)收 時(shí)間: 2025-3-24 21:53
UK Perspectives of Academic Integritysustainable development issues, examining them through the lenses of Decentralized Science (DeSci), Decentralized Autonomous Organizations (DAOs), Blockchain Technology, and Foundational Intelligence.作者: 前奏曲 時(shí)間: 2025-3-25 01:29
AI for Mathematics,ative examples, this chapter provides brief introductions to selected advancements in AI for mathematics, including guiding mathematicians’ intuition for conjectures, searching for new programs for combinatorial optimization, proving geometric theorems, and discovering faster algorithms for matrix multiplication and sorting.作者: 食品室 時(shí)間: 2025-3-25 03:25 作者: 喪失 時(shí)間: 2025-3-25 08:27 作者: 過(guò)時(shí) 時(shí)間: 2025-3-25 14:45 作者: 里程碑 時(shí)間: 2025-3-25 16:29 作者: CODA 時(shí)間: 2025-3-25 20:11
Handbook of Abductive Cognitionrovides brief introductions to selected advancements in AI for physics, including unfolding observables from the Large Hadron Collider, magnetic control of tokamak plasmas, and finding evidence for intrinsic charm quarks, based on AI methods such as neural networks, genetic algorithms, reinforcement learning, and more.作者: Glossy 時(shí)間: 2025-3-26 03:24 作者: Dappled 時(shí)間: 2025-3-26 05:50 作者: organism 時(shí)間: 2025-3-26 10:35 作者: Abnormal 時(shí)間: 2025-3-26 15:18
Cristina Barés Gómez,Matthieu Fontainecluding Swarm Learning for decentralized diagnosis, and advanced models like IRENE and EVE for clinical diagnostics. These innovations aim to enhance data confidentiality, improve diagnostic accuracy, streamline patient triaging, and clinical decision-making.作者: Rejuvenate 時(shí)間: 2025-3-26 19:35
AI for Biology,ction with AlphaFold to the innovative design of functional proteins with RFdiffusion and advanced single-cell analysis with scGPT. These advancements not only enhance our understanding of biological processes but also pave the way for new therapeutics and applications in medicine and beyond.作者: Defense 時(shí)間: 2025-3-26 23:13 作者: 撫慰 時(shí)間: 2025-3-27 04:32 作者: Uncultured 時(shí)間: 2025-3-27 05:28
SpringerBriefs in Service Sciencehttp://image.papertrans.cn/b/image/167584.jpg作者: sorbitol 時(shí)間: 2025-3-27 10:48 作者: 小淡水魚 時(shí)間: 2025-3-27 13:52
Handbook for the Historiography of Sciencee Parallel Intelligence perspectives for analyzing, comparing, and developing AI4S within a unified framework called HANOI-AI4S. First, a systematic introduction to Parallel Intelligence is provided, followed by the perspectives of Parallel Science, characterized by “three worlds, three ITs, three s作者: 薄膜 時(shí)間: 2025-3-27 21:05
Handbook of 200 Medicinal Plantstheorems and solving complex mathematical problems. These systems use techniques such as reinforcement learning, symbolic computation, genetic programming, and large language models to explore mathematical spaces and discover new patterns and relationships. AI algorithms and paradigms, like AlphaZer作者: Firefly 時(shí)間: 2025-3-28 00:45 作者: 使迷醉 時(shí)間: 2025-3-28 02:20
Introduction to Philosophy and Abduction biology, is the application of AI to protein research. Among the numerous frontiers, this chapter covers topics from accurate protein structure prediction with AlphaFold to the innovative design of functional proteins with RFdiffusion and advanced single-cell analysis with scGPT. These advancements作者: 擴(kuò)張 時(shí)間: 2025-3-28 09:18 作者: 古老 時(shí)間: 2025-3-28 12:11 作者: 運(yùn)動(dòng)的我 時(shí)間: 2025-3-28 14:38
Ide Bagus Siaputra,Dimas Armand Santosapment processes. One area of focus is the prediction of new materials with desirable properties, such as high strength or conductivity, by analyzing large datasets of material properties and structures. AI is also being used to optimize material synthesis processes, helping researchers identify the 作者: Jocose 時(shí)間: 2025-3-28 21:23 作者: 高興一回 時(shí)間: 2025-3-29 00:15
UK Perspectives of Academic Integrityine, and astronomy. While these selected works represent only a portion of the progress made in AI for Sciences (AI4S) in recent years, these breakthroughs are truly thrilling. On the other hand, as a rapidly evolving field, AI4S encounters numerous challenges. Hence, the establishment of a robust a作者: Simulate 時(shí)間: 2025-3-29 04:35
https://doi.org/10.1007/978-3-031-67419-8AI4Sci; AI4S; Machine learning; Artificial Intelligence for Sciences; Deep learning; Parallel intelligenc作者: tympanometry 時(shí)間: 2025-3-29 07:35 作者: 人造 時(shí)間: 2025-3-29 14:57
Feline Coronavirus: Insights into the Pathogenesis and Diagnosis feline infectious peritonitis (FIP) form. While FCoV infection usually presents either asymptomatically or is the cause of mild and transient gastrointestinal signs, up to 10% of cases result in the fatal disease of FIP. An incomplete understanding of infection biology and pathogenesis of FIP makes作者: 大笑 時(shí)間: 2025-3-29 18:06 作者: 友好 時(shí)間: 2025-3-29 19:49
Book 1994on particular periods of his thought that are taken to be especially significant, or, accepting the view of his successive conversion to dis- tinctly different philosophical positions, they have provided some account of each of these supposedly disconnected periods of his thought. While much good wo
