Andreas Reuter could refer to different individuals, but one notable figure is a prominent computer scientist known for his work in database management and information systems. He has contributed to various fields, including database theory, data integration, and knowledge management.
As of my last update in October 2021, there is no widely recognized figure or entity named "Wes Hildreth" in literature, entertainment, politics, or other prominent fields. It's possible that he has gained prominence after that date, or he may be a lesser-known individual relevant in a specific context, such as a local figure, professional, or someone related to a niche area.
William H. Schlesinger is a noted biogeochemist and environmental scientist, recognized for his research in areas such as ecosystem ecology, biogeochemistry, and climate change. He has contributed significantly to our understanding of nutrient cycling, particularly in terrestrial ecosystems. Schlesinger served as the Dean of the Nicholas School of the Environment at Duke University and has been involved in various scientific organizations and initiatives related to environmental science and policy.
William Ruddiman is an American paleoclimatologist and geologist known for his work on climate change and the history of Earth's climate. He is particularly known for his research on the impact of human activities on the climate long before the Industrial Revolution. Ruddiman has proposed the "Early Anthropocene" hypothesis, which suggests that human agricultural practices began to influence the Earth's climate thousands of years ago, particularly through the release of greenhouse gases like carbon dioxide and methane.
Adele Goldberg is an influential computer scientist known for her work in the fields of object-oriented programming and graphical user interfaces (GUIs). She is particularly recognized for her contributions to the development of Smalltalk, an early object-oriented programming language, which played a significant role in shaping modern programming concepts. Goldberg earned her Ph.D. from the University of California, Berkeley, and has had a prominent career in both academia and industry.
Abraham Silberschatz is a prominent computer scientist known for his contributions to database systems, operating systems, and information systems. He is a professor at the University of Texas at Austin and has authored or co-authored several influential textbooks and papers in the field of computer science. One of his most well-known works is the textbook "Database System Concepts," co-authored with Henry Korth and S. Sudarshan, which is widely used in academia for teaching database management systems.
Amit Singhal is a prominent figure in the field of computer science and artificial intelligence, known primarily for his work at Google. He was a key engineer and served as the head of Google's core search algorithm team. Singhal played a significant role in the development of various algorithms that improved Google's search capabilities, including the introduction of important updates such as Hummingbird and RankBrain, which helped the search engine better understand user queries and deliver more relevant results.
Cherri M. Pancake is a prominent computer scientist known for her work in high-performance computing (HPC), computer graphics, and educational technology. She has made significant contributions to the field through her research, publications, and leadership in various computing organizations. Pancake has also been involved in initiatives to promote diversity and inclusion within the computing community. Aside from her research and academic roles, she has served in various capacities at institutions and organizations focused on advancing computing research and education.
Swedish materials scientists are researchers and experts in the field of materials science who are based in Sweden or are affiliated with Swedish institutions. Materials science is an interdisciplinary field that focuses on the properties, performance, and applications of materials, including metals, ceramics, polymers, and composites. Swedish materials scientists contribute to advancements in various areas, including nanotechnology, biomaterials, energy materials, and more.
Anil K. Jain is a prominent computer scientist, widely recognized for his contributions to the fields of pattern recognition, computer vision, and biometrics. Born in 1948 in India, he has had a distinguished academic career, serving as a professor in the Department of Computer Science and Engineering at Michigan State University. Jain's research has significantly impacted various applications, particularly in biometric identification, including fingerprint recognition, face recognition, and iris recognition systems.
Charles Lee Isbell Jr. is an American computer scientist and academic known for his work in the fields of artificial intelligence and machine learning. He is a professor and has held various administrative roles in academia. Isbell has been involved in research that focuses on machine learning, reinforcement learning, multi-agent systems, and robotics. He has also contributed to educational efforts in computer science and artificial intelligence, and may be associated with initiatives aimed at diversifying the field and promoting STEM education.
Bing Liu is a prominent computer scientist known for his contributions to the fields of data mining, artificial intelligence, and machine learning, particularly in the area of sentiment analysis and opinion mining. He is a professor at the University of Illinois at Chicago (UIC) and has published numerous research papers and articles that have significantly advanced the understanding of how to extract and analyze sentiments from text data, which is vital for various applications such as customer feedback analysis, social media monitoring, and market research.
The number 138 is an integer that follows 137 and precedes 139. It can be expressed in various contexts: 1. **Mathematics**: It is an even composite number, as it has divisors other than 1 and itself (for example, 2, 3, 6, 23, 46, and 69). It can be expressed as a product of primes: \(138 = 2 \times 3 \times 23\).
Chung Laung Liu is a prominent mathematician and computer scientist known for his contributions to various fields, including computer algorithms, complexity theory, and combinatorial optimization. He has published numerous research papers and has made significant advancements in algorithm design and analysis. Liu's work often focuses on improving the efficiency of algorithms and tackling problems related to graph theory and optimization.
Claire Cardie is a notable professor and researcher in the field of computer science, particularly recognized for her work in artificial intelligence, machine learning, and natural language processing. She has made significant contributions to tasks related to information extraction, text mining, and the development of systems that can understand and generate human language.
David L. Dill is known for his work in the field of computer science, particularly in areas related to algorithms, computational biology, and systems biology. He has contributed to research in algorithm design and has been involved in educational initiatives in computer science.
Donald W. Loveland is an American mathematician known for his contributions to mathematical logic and computer science. He is particularly recognized for his work in the areas of satisfiability, automated theorem proving, and logic programming. Loveland is also known for co-authoring the book "Computational Logic: A Logical Approach to Reasoning," among other publications. His research has influenced the development of algorithms and methods used in artificial intelligence and formal verification.
Dawn Song is a prominent figure in computer science, particularly known for her work in areas such as artificial intelligence, machine learning, and computer security. As a professor at the University of California, Berkeley, she has contributed significantly to research in these fields and has been involved in various innovative projects. Dawn Song has also worked on issues related to the security of AI systems and has explored the intersection of machine learning and privacy.
Demetri Terzopoulos is a prominent computer scientist known for his work in computer vision, machine learning, and graphics. He is particularly recognized for his research on physically-based modeling, visual perception, and artificial intelligence, including the development of techniques for simulating lifelike behaviors in graphics and for analyzing and interpreting visual scenes.
Dorin Comaniciu is a prominent figure in the field of medical imaging and computer science, known for his contributions to image analysis, machine learning, and artificial intelligence in medicine. He has been influential in advancing techniques for image processing, particularly in applications related to medical diagnostics and healthcare. Comaniciu's work often revolves around developing algorithms and systems that improve the accuracy and efficiency of interpreting medical images, such as those obtained from MRI, CT scans, and ultrasound.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





