If any of you ever read this, do send me an email to Ciro Santilli saying hi and we can agree on a clear separation of usernames.
Although if you are just starting out, maybe you should just go from scratch with a unique Internet alias.
A younger unrelated Argentinian homonym who likes soccer that can be found through Google:Ciro used to like playing soccer too! :-)
- twitter.com/ciro_santilli
- www.facebook.com/profile.php?id=100009065024069
- www.instagram.com/ciro.santilli/ contains a few cool-sexy-boy-selfies as of 2025 when he hit that stage
- www.youtube.com/@cirosantilli9603
- www.linkedin.com/in/ciro-santilli-bb77b72b7
www.ancestry.com.au/genealogy/records/ciro-santilli-24-bkmssg documents a "Ciro Santilli" born 31 Jan 1887 at Castelvécchio in Subéquo, L'Aquila, in the Abruzzo region, just like Ciro Santilli's ancestors. Parents Francesco Santilli and Anna Silveri. The page also mentions:
- Ciro Santilli found in New York, Passenger and Crew Lists (including Castle Garden and Ellis Island), 1820-1957
- Ciro Santilli found in Oregon, Naturalization Records 1865-1991
Major projects can be seen at: Section "The most important projects done by Ciro Santilli".
OK, now we're talking, two liner and you get a window showing bounding box object detection from your webcam feed!The accuracy is crap for anything but people. But still. Well done. Tested on Ubuntu 22.10, P51.
python -m pip install -U yolov5==7.0.9
yolov5 detect --source 0Sally Brailsford is a recognized figure in the field of operations research, management science, and decision support systems. She has made significant contributions to the development of methodologies and tools that aid in decision-making processes. Her work often intersects with healthcare, logistics, and service operations, and she has been involved in various academic and practical applications of these disciplines.
As of my last update in October 2021, there is no widely recognized figure or entity specifically known as "Yasmín Ríos-Solís". It is possible that she is a private individual, a public figure, or an emerging personality who gained recognition after that date.
Operator theorists are mathematicians who specialize in the study of operators on function spaces, mainly within the framework of functional analysis. This field investigates various types of linear operators, which are mappings that take one function (or vector) to another while preserving the structure of a vector space. Key areas of focus within operator theory include: 1. **Linear Operators**: Understanding how linear mappings act on function spaces, particularly Hilbert and Banach spaces.
The Gelfand–Naimark theorem is a fundamental result in functional analysis and the theory of C*-algebras. It establishes a deep connection between C*-algebras and normed spaces, specifically in the context of representation theory.
A differential operator is a mathematical operator used to denote the process of differentiation. In the context of a function, it takes a function as its input and produces the derivative of that function as output. Differential operators are commonly used in calculus, physics, engineering, and many other fields to analyze and describe rates of change and various physical phenomena.
In operator theory, dilation refers to a specific concept particularly relevant in the study of linear operators on Hilbert spaces. The idea of dilation relates to the representation of certain types of operators (often bounded operators) in terms of larger, often simpler, operators. Dilation can be viewed from different perspectives, including matrix dilation, functional analytic dilation, and quantum mechanical contexts. ### 1. **Unitary Dilation**: A common type of dilation in operator theory is unitary dilation.
The Discrete Laplace operator, often referred to as the discrete Laplacian, is a crucial mathematical tool used primarily in the fields of numerical analysis, image processing, and physics when dealing with discrete data, such as grids or meshes. It is a finite difference analogue of the continuous Laplace operator, which captures the concept of local curvature or diffusion.
In the context of Hilbert spaces and functional analysis, a **positive operator** is a specific type of bounded linear operator that acts on a Hilbert space. Here's a more detailed explanation: ### Definitions and Properties 1. **Hilbert Space**: A Hilbert space is a complete vector space equipped with an inner product, which allows for the generalization of concepts such as length and angle.
Optics Letters is a peer-reviewed scientific journal that publishes research articles and letters on all aspects of optics and photonics. It is known for its rapid publication process, allowing research findings to reach the scientific community quickly. The journal covers a wide range of topics including, but not limited to, novel optical technologies, fundamental studies in light-matter interactions, and advancements in optical materials and devices. It is widely regarded in the field of optics and is published by the Optical Society (OSA).
70,000 28x28 grayscale (1 byte per pixel) images of hand-written digits 0-9, i.e. 10 categories. 60k are considered training data, 10k are considered for test data.
This is THE "OG" computer vision dataset.
Playing with it is the de-facto computer vision hello world.
It was on this dataset that Yann LeCun made great progress with the LeNet model. Running LeNet on MNIST has to be the most classic computer vision thing ever. See e.g. activatedgeek/LeNet-5 for a minimal and modern PyTorch educational implementation.
But it is important to note that as of the 2010's, the benchmark had become too easy for many applications. It is perhaps fair to say that the next big dataset revolution of the same importance was with ImageNet.
The dataset could be downloaded from yann.lecun.com/exdb/mnist/ but as of March 2025 it was down and seems to have broken from time to time randomly, so Wayback Machine to the rescue:but doing so is kind of pointless as both files use some crazy single-file custom binary format to store all images and labels. OMG!
wget \
https://web.archive.org/web/20120828222752/http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz \
https://web.archive.org/web/20120828182504/http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz \
https://web.archive.org/web/20240323235739/http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz \
https://web.archive.org/web/20240328174015/http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
OK-ish data explorer: knowyourdata-tfds.withgoogle.com/#tab=STATS&dataset=mnist
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








