#Computer Science and Information Technology

[neyatimes]

Pinduoduo: One of China's most popular apps has the ability to spy on its users, say experts

CNN  —  It is one of China’s most popular shopping apps, selling clothing, groceries and just about everything else under the sun to more than 750 million users a month. But according to cybersecurity researchers, it can also bypass users’ cell phone security to monitor activities on other apps, check notifications, read private messages and change settings. And once installed, it’s tough to…

[10bmnews]

One of China’s most popular apps has the ability to spy on its users, say experts | CNN Business

CNN  —  It is one of China’s most popular shopping apps, selling clothing, groceries and just about everything else under the sun to more than 750 million users a month. But according to cybersecurity researchers, it can also bypass users’ cell phone security to monitor activities on other apps, check notifications, read private messages and change settings. And once installed, it’s tough to…

[sirtbhopal]

SIRT College signed MOU with Geeks of Gurukul for Advanced Course in CS Group

[101now]

Disney, The New York Times and CNN are among a dozen major media companies blocking access to ChatGPT as they wage a cold war on A.I.

Editor’s Note: A version of this article first appeared in the “Reliable Sources” newsletter. Sign up for the daily digest chronicling the evolving media landscape here. CNN  —  News organizations are in a cold war with OpenAI. While a shot has yet to be fired, some of the nation’s largest newsrooms are actively taking defensive measures to safeguard their content from ChatGPT, the…

[anonymousdormhacks]

Whats the opposite of gothic? I'm in love with comp sci anti-gothic where it's just people being surprisingly polite and nice and funny through computers. A program's first lines are always "Hello world!". SMTP protocols apparently say "hello, pleased to meet you" to each other to establish a connection with a handshake. Python has a different version called Andaconda, which has a smaller version called miniconda. C++ is just C continuously improving on itself, because the ++ operator means to add one onto a previous value, and C# is two ++ stacked on top of each other. Lawmakers have to talk about the ethics of saving "cookies" to computers because one guy liked fortune cookies and decided to call them that. The internet itself wasn't created with security in mind because it was just meant to be a way for a group of people who trusted each other using it to send each other information, and so on, and so forth

[ranticore]

sorry if this question is already answered elsewhere but how much time passes between the creation of ishmael vs the modern siren setting with qedivar et al?

intentionally never stated because i don't want to box myself in with a ridiculous number that i have to retcon later haha. safe to say it's several centuries, maybe a thousand years, maybe less. who knows!

[neyatimes]

Micron Technology: China probes US chip maker for cybersecurity risks as tech tension escalates

Hong Kong CNN  —  China has launched a cybersecurity probe into Micron Technology, one of America’s largest memory chip makers, in apparent retaliation after US allies in Asia and Europe announced new restrictions on the sale of key technology to Beijing. The Cyberspace Administration of China (CAC) will review products sold by Micron in the country, according to a statement by the watchdog…

[computercodingclass]

How to Sort List of Tuples in Python | Python List Tutorial | Python Tutorials for Beginners

via IFTTT

[cs-med-world-insights]

How to get into Coding!

Coding is very important now and in the future. Technology relies on coding and in the future you will need to know how to code to get a high-paying job. Many people consider having Computer Science field-related jobs, especially in AI. What if you are interested it in general or as a hobby? What if you don't know what you want to do yet for college?

Pick a language you want to learn: Personally, I started out with HTML and CSS. I recommend if you want to do web design HTML and CSS are good languages to start with. Otherwise, start with JavaScript or Python.

2. Find Resources: Basically you want to look at videos on YouTube, and take classes that have coding like AP CSP, AP CS A (harder class), Digital Information Technology, etc. You can also attend classes outside in the summer like CodeNinjas and use websites like code.org, freeCodeCamp, and Codecademy. Also, ask your friends for help too! You can find communities on Reddit and Discord as well.

3. Start Practicing: Practice slowly by doing small projects like making games for websites and apps. You can work with friends if you are still a beginner or need help. There's also open-source coding you can do!

4. Continue coding: If you don't continue, you will lose your skills. Be sure to always look up news on coding and different coding languages.

5. Certifications: If you are advanced in coding or want to learn more about technology, you can do certifications. This can cost a lot of money depending on what certification you are doing. Some school districts pay for your certification test. But if you take the test and pass, you can put it on your resume, and job recruiters/interviewers will be impressed! This can help with college applications and show initiative if you want a computer science degree. This shows you are a "master" of the language.

[sirtbhopal]

SIRT Faculties Published Book Intrusion Detection System Using MANET

Prof. Punam Choubey, Prof. Priyanka Soni, and Prof. Sneha Sule, from the Department of Computer Science and Information Technology SIRT, Bhopal published the book "Intrusion Detection System Using MANET".

[orcelito]

Had a moment of listening to music I liked back when I was a teenager (& still like) and having a whole. Realization . That I like myself as I am now sooooo much better than I like teenage me. And I started thinking about Why.

There's a lot to it I'm pretty sure, & most of it centers around the fact that I just... didn't really know who I was as a person. I didn't really have hobbies outside of what I did in school (aka orchestra) and like. Video games + anime. I did creative writing in middle school, but dropped off in high school for... some reason? I still made original characters and played around with them a lot, but it was mostly just in drawing and thinking about them. I never actually *wrote*, and I in fact didn't get back into creative writing at all until I was 23 years old. I was someone who had spent so long hiding behind others and just doing what I was told that I just... didn't have any real direction. I didn't know what I even *wanted*. I thought I knew, but in hindsight, I can confidently say that I didn't. I was just an insecure teen drifting through life and not thinking about things beyond what was immediately in front of me. Which is pretty standard for teenagers I guess, but not all of them. Not at all.

Compared to now, where I have Many hobbies, most notably being writing. As I am now, I am just Intrinsically a writer. And it's weird to remember that I wasn't even really *writing* before 5 years ago (besides text rps, which did a lot for developing my writing skill! But still aren't a replacement for writing individually). As a teen, I wasnt into dnd, I was incredibly out of shape, & I was a lot less aggressive and focused. I was the type to avoid sports!!! I hated them!!!! But as I am now, I Love biking and can easily bike for an hour+ no problem (I remember being a teen and trying to go on just 10 minute bike rides in the summer and just *dying* from it), & I love working out. I wanna be strong!!! I LOVE being strong!!! And I was an absolute mess with things like public speaking & working in groups, vs now where I can do an impromptu presentation no problem & I'm often the unofficial leader in group projects bc im typically the one who does the organizing and allotments of work. A side effect of working as a supervisor and then assistant manager for so long. I have a lot more confidence in my perceptions and judgements, & I have the self-assurance to assert these things. And this is only really the tip of the iceberg with all the differences.

I just feel like an entirely different person, almost. The cores are the same, or at least damn near similar, with the things I want out of life & the sorts of things I enjoy, but it's like. The difference between finding a random rock off the side of the road & then that rock when it's been sanded and carved and decorated to be something individual and unique. You look at them side by side and it's something dull vs something shiny and intricate. The origins can't be ignored and dismissed, & I certainly would never resent younger me for just doing the best with what I knew at the time. But it's just astounding how much difference time and experience will have for growing and developing as a person. Things I consider integral to my personhood weren't even thoughts in my mind back then. We are almost entirely different people.

[oneictskills]

ICT Skills | An Online Live IT Training Institute

[wojakgallery]

Title/Name: Steven Paul Jobs, popularly known as ‘Steve Jobs’, (1955–2011). Bio: American businessman, inventor, and investor best known for co-founding the technology giant Apple Inc. Jobs was also the founder of NeXT and chairman of Pixar. He was a pioneer of the personal computer revolution of the 1970s and 1980s, along with his early business partner and fellow Apple co-founder Steve Wozniak. Country: USA Wojak Series: Feels Guy (Variant) Image by: Wojak Gallery Admin Main Tag: Steve Jobs Wojak

[herpersonafire]

I need Study Blogs to follow!! pls give this a like if you are one , I need to stay motivated !! :)

[frank-olivier]

Deep Learning, Deconstructed: A Physics-Informed Perspective on AI’s Inner Workings

Dr. Yasaman Bahri’s seminar offers a profound glimpse into the complexities of deep learning, merging empirical successes with theoretical foundations. Dr. Bahri’s distinct background, weaving together statistical physics, machine learning, and condensed matter physics, uniquely positions her to dissect the intricacies of deep neural networks. Her journey from a physics-centric PhD at UC Berkeley, influenced by computer science seminars, exemplifies the burgeoning synergy between physics and machine learning, underscoring the value of interdisciplinary approaches in elucidating deep learning’s mysteries.

At the heart of Dr. Bahri’s research lies the intriguing equivalence between neural networks and Gaussian processes in the infinite width limit, facilitated by the Central Limit Theorem. This theorem, by implying that the distribution of outputs from a neural network will approach a Gaussian distribution as the width of the network increases, provides a probabilistic framework for understanding neural network behavior. The derivation of Gaussian processes from various neural network architectures not only yields state-of-the-art kernels but also sheds light on the dynamics of optimization, enabling more precise predictions of model performance.

The discussion on scaling laws is multifaceted, encompassing empirical observations, theoretical underpinnings, and the intricate dance between model size, computational resources, and the volume of training data. While model quality often improves monotonically with these factors, reaching a point of diminishing returns, understanding these dynamics is crucial for efficient model design. Interestingly, the strategic selection of data emerges as a critical factor in surpassing the limitations imposed by power-law scaling, though this approach also presents challenges, including the risk of introducing biases and the need for domain-specific strategies.

As the field of deep learning continues to evolve, Dr. Bahri’s work serves as a beacon, illuminating the path forward. The imperative for interdisciplinary collaboration, combining the rigor of physics with the adaptability of machine learning, cannot be overstated. Moreover, the pursuit of personalized scaling laws, tailored to the unique characteristics of each problem domain, promises to revolutionize model efficiency. As researchers and practitioners navigate this complex landscape, they are left to ponder: What unforeseen synergies await discovery at the intersection of physics and deep learning, and how might these transform the future of artificial intelligence?

Yasaman Bahri: A First-Principle Approach to Understanding Deep Learning (DDPS Webinar, Lawrence Livermore National Laboratory, November 2024)

Sunday, November 24, 2024