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.
Gaetano Borriello (1960-2018) was a prominent computer scientist and educator known for his work in the fields of computer science and human-computer interaction. He served as a professor at the University of Washington, where he focused on areas such as ubiquitous computing, interactive systems, and mobile computing. Borriello was recognized for his contributions to the development of technologies that enhance the way people interact with computers and digital devices.
Edouard Bugnion is a prominent figure in the field of computer science, particularly known for his contributions to cloud computing, virtualization, and data center technologies. He is a co-founder of several high-profile companies and has held significant leadership roles in various tech organizations. Bugnion is particularly noted for his work at VMware, where he played a key role in developing virtualization technologies that allow multiple operating systems to run concurrently on a single physical machine.
Edward Knightly could refer to different individuals depending on the context, but without additional information, it is difficult to determine a specific person. Historically, "Edward Knightly" does not refer to a widely recognized figure.
Héctor García-Molina is a prominent figure in the field of computer science, particularly known for his contributions to databases, distributed systems, and information retrieval. He has held various academic and administrative positions, including being a professor at Stanford University. García-Molina has co-authored numerous influential publications and has played a significant role in advancing the understanding of database management systems. Additionally, he has served as a leader in professional organizations and has contributed to the education of many students in computer science.
Frances Allen (1932–2020) was a prominent American computer scientist known for her pioneering work in compiler optimization and programming language theory. She was one of the first female computer scientists to achieve significant recognition in her field and made substantial contributions to the development of optimizing compilers that improve the performance of software. Allen worked at IBM for much of her career, where she developed techniques that allowed for more efficient execution of programs, including innovations in parallel computing and algorithms for program analysis.
J. Presper Eckert was an American engineer and inventor who is best known for his significant contributions to the development of the first general-purpose electronic computer, ENIAC (Electronic Numerical Integrator and Computer), which he co-designed with John Mauchly. Born on April 9, 1919, Eckert was a pioneer in the field of computing and played a crucial role in advancing computer technology.
Harold N. Gabow is a notable figure in the field of computer science, particularly known for his work in graph theory and algorithms. He has made significant contributions to the understanding and development of efficient algorithms for network flows, matches in bipartite graphs, and various combinatorial problems. Gabow has also been involved in academia, teaching and mentoring students in computer science.
Harry Huskey was an influential figure in the field of computer science and engineering, particularly known for his contributions to early computing technology. Born in 1916 and passing away in 2021, he was involved in the development of several pioneering computers and was notable for his work at various institutions, including Stanford University and the University of California, Santa Barbara. Huskey played a key role in the creation of early computing machines and was known for his research in automata theory and computer architecture.
Jim Horning is a name associated with several individuals, notably in fields like computer science and technology. However, one prominent figure named Jim Horning is a computer scientist known for his contributions to artificial intelligence and programming languages. He worked on various projects, including early work in the field of programming language design and image processing. Another notable Jim Horning is an author and educator who has written works on topics related to computer science.
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





