標(biāo)題: Titlebook: Artificial Intelligence; What Is Behind the T Gerhard Paa?,Dirk Hecker Book 2024 The Editor(s) (if applicable) and The Author(s), under exc [打印本頁] 作者: 復(fù)雜 時間: 2025-3-21 16:41
書目名稱Artificial Intelligence影響因子(影響力)
作者: Morbid 時間: 2025-3-21 22:28 作者: 同步信息 時間: 2025-3-22 02:28
https://doi.org/10.1007/978-3-031-50605-5Artificial Intelligence; BERT; Ethical AI; Data Protection; Deep Learning; Image Recognition; Machine Lear作者: 果仁 時間: 2025-3-22 06:16
978-3-031-50607-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 煩憂 時間: 2025-3-22 12:00 作者: 殖民地 時間: 2025-3-22 14:29
Antik?rper-Antigen-Wechselwirkungto solve some Artificial Intelligence subtasks in a satisfactory manner. This chapter provides an informal overview of the state of the art. Of particular importance here is the interpretation of sensor data, such as recognizing objects in photos, diagnosing diseases from images, or transcribing spo作者: Kindle 時間: 2025-3-22 20:09 作者: ANA 時間: 2025-3-22 23:46 作者: 掃興 時間: 2025-3-23 04:32
Antik?rper-vermittelte überempfindlichkeitge objects and determining their position in the image. The majority of DNNs for image processing are Convolutional Neural Networks (CNN). They use layers with small receptive fields (convolutions), which are shifted over the pixel matrix of the input image. They are capable of detecting local image作者: deface 時間: 2025-3-23 08:42 作者: 過于平凡 時間: 2025-3-23 13:46
,Synchronisierter veno — arterieller Bypass,or small time intervals as input. For speech processing, deep sequence-to-sequence models based on LSTM or transformers are used, which generate the recognized text. Alternatively, Convolutional Neural Networks are employed. A hybrid model of Sequence-to-Sequence and CNN models is able to achieve a 作者: 沉著 時間: 2025-3-23 16:36 作者: 新鮮 時間: 2025-3-23 21:27
Arno-Ekkehart Lison,Heinz Losse adversarial networks (GANs) are able to create images with specific properties or style features. In addition, they can convert images from one type to another, such as a photo to a painting. For authoring texts, there are language models that can invent new complex stories and formulate them in fl作者: Visual-Acuity 時間: 2025-3-23 22:32
Arno-Ekkehart Lison,Heinz Losse neural networks and offers a wide range of opportunities and innovation potential, for example in the smart home, in medicine and in industrial applications. AI has a huge impact on economic development and our working world and poses major challenges to society. Internet corporations are using AI 作者: COMA 時間: 2025-3-24 03:32 作者: anniversary 時間: 2025-3-24 09:14
des a quick technical understanding of AI concepts.Helps theArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life?–?from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machin作者: Dna262 時間: 2025-3-24 11:36 作者: Diuretic 時間: 2025-3-24 15:05 作者: Analogy 時間: 2025-3-24 19:26 作者: Gastric 時間: 2025-3-25 01:13 作者: 拱墻 時間: 2025-3-25 04:46
Image Recognition with Deep Neural Networks,e the position of objects in images with pixel precision. Finally, models for estimating the inaccuracy of image classifications are presented, and the influence of image distortions and intentional image manipulation on classification accuracy is discussed.作者: 大火 時間: 2025-3-25 09:54 作者: 混合,攙雜 時間: 2025-3-25 12:07 作者: octogenarian 時間: 2025-3-25 17:35
Immunologische Aktivit?t der Lymphozytenssary procedure in all details, but with a minimum of mathematical formulas. The more complex models of the following chapters are built according to exactly the same scheme and use the investigated linear model as a universal building block.作者: enormous 時間: 2025-3-25 23:35 作者: –吃 時間: 2025-3-26 00:59 作者: Exclaim 時間: 2025-3-26 07:47 作者: 古文字學(xué) 時間: 2025-3-26 11:16 作者: ATRIA 時間: 2025-3-26 15:34
What Is Intelligent About Artificial Intelligence?,perceive its environment and behave intelligently, similar to humans. However, this definition is imprecise because the term “intelligence” is difficult to delineate. Therefore, this chapter discusses the individual dimensions of AI. Most AI systems are tasked with associating an input (e.g., an ima作者: 鼓掌 時間: 2025-3-26 18:32
What Are the Capabilities of Artificial Intelligence?,to solve some Artificial Intelligence subtasks in a satisfactory manner. This chapter provides an informal overview of the state of the art. Of particular importance here is the interpretation of sensor data, such as recognizing objects in photos, diagnosing diseases from images, or transcribing spo作者: Diatribe 時間: 2025-3-26 21:40
Some Basic Concepts of Machine Learning, the logistic regression model, which predicts the corresponding output for given inputs. The goal is to automatically find the relations between the existing input values and the output category in the data. For this purpose, a large number of numerical parameter values are modified step by step us作者: 軍火 時間: 2025-3-27 04:32
Deep Learning Can Recognize Complex Relationships,represent arbitrary “curved” relationships between inputs and outputs. This chapter describes the properties of such deep neural networks and shows how to find the optimal parameters using the backpropagation method. It then discusses the problem of overfitting and how it can be solved using regular作者: indemnify 時間: 2025-3-27 08:20
Image Recognition with Deep Neural Networks,ge objects and determining their position in the image. The majority of DNNs for image processing are Convolutional Neural Networks (CNN). They use layers with small receptive fields (convolutions), which are shifted over the pixel matrix of the input image. They are capable of detecting local image作者: 變態(tài) 時間: 2025-3-27 11:56 作者: 集合 時間: 2025-3-27 17:21
Understanding Spoken Language,or small time intervals as input. For speech processing, deep sequence-to-sequence models based on LSTM or transformers are used, which generate the recognized text. Alternatively, Convolutional Neural Networks are employed. A hybrid model of Sequence-to-Sequence and CNN models is able to achieve a 作者: 溫室 時間: 2025-3-27 19:42
Learning Optimal Policies,ieving the highest possible sum of rewards over time. An action is determined based on the current state and affects the reward, often many time steps later. Examples applications include games, robotic controls, and self-driving cars. Deep neural networks (DNNs) can be used to assign a sum of expec作者: OTHER 時間: 2025-3-28 01:57
Creative Artificial Intelligence and Emotions, adversarial networks (GANs) are able to create images with specific properties or style features. In addition, they can convert images from one type to another, such as a photo to a painting. For authoring texts, there are language models that can invent new complex stories and formulate them in fl作者: 侵略者 時間: 2025-3-28 03:52 作者: choleretic 時間: 2025-3-28 07:46 作者: BUOY 時間: 2025-3-28 11:42
Understanding Spoken Language,iants of spatio-temporal convolutional layers. More difficult is the description of videos by subtitles, which can be done for example with the help of transformer translation models. In a last section, the influence of noise on speech recognition and the potential danger of adversarial attacks are 作者: ABHOR 時間: 2025-3-28 14:34 作者: 擦試不掉 時間: 2025-3-28 19:51
AI and Its Opportunities, Challenges and Risks,itizens’ liberties. Researchers and policymakers have therefore developed a testing strategy for an “AI seal of approval”, which should guarantee that AI systems deliver the desired results in a verifiable manner. In addition, the systems should not disadvantage any population group, function robust作者: 跑過 時間: 2025-3-29 02:48 作者: 打折 時間: 2025-3-29 06:17
