Computer Science and Programming
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science
Ko'proq ko'rsatish📈 Telegram kanali Computer Science and Programming analitikasi
Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 140 524 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 804-o'rinni va Italiya mintaqasida 88-o'rinni egallagan.
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невідомо sanasidan buyon loyiha tez o‘sib, 140 524 obunachiga ega bo‘ldi.
29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -741 ga, so‘nggi 24 soatda esa -33 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python
Admin: @otchebuch
Memes: @memes_programming
Ads: @Source_Ads,
https://telega.io/c/computer_sc...”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.💻 https://github.com/bytedance/MegaTTS3
TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.🔗 https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch
GitHubTree is a tool that allows users to easily visualize and explore the folder/directory structure of any public GitHub repository. It also enables users to copy file paths with a single click.🔗 https://www.producthunt.com/posts/githubtree
TLDR The post discusses the impact of AI on software development productivity, based on findings from the 2024 Accelerate State of DevOps Report. While AI tools are widely used for various coding tasks, there are concerns about their negative effects on software delivery metrics like throughput and stability. Large AI-generated code batches can slow down reviews and increase the risk of bugs, potentially making developers less productive despite the perceived speed gains from AI.🔗 https://toddle.dev/blog/does-ai-really-make-you-more-productive
Open-source platform for IT and security teams with thousands of computers. Designed for APIs, GitOps, webhooks, YAML, and humans.💻 https://github.com/fleetdm/fleet
TLDR mcpt by Mintlify is a managed registry for Model Context Protocol (MCP) servers. These servers enable AI tools to interact with external data sources, ensuring reliable and up-to-date access. mcpt simplifies the exploration and utilization of the fragmented MCP ecosystem by providing a curated list of official servers.🔗 https://www.producthunt.com/posts/mcpt
Geocities.live is a tool that lets users transform any modern webpage into a 90s GeoCities-style page using AI. It's a creative way to counter the monotony of modern templates like tailwind and shadcn.🔗 https://www.producthunt.com/posts/geocities-live
TLDR Starting April 1, 2025, Docker Hub will enforce pull rate limits, significantly impacting CI/CD pipelines that pull images without authentication. GitLab users are recommended to configure Docker Hub authentication to increase rate limits, use GitLab Container Registry, or leverage GitLab Dependency Proxy with proper authentication. Implementing these changes before the deadline can avoid pipeline failures. GitLab is updating its infrastructure and providing documentation to help users transition smoothly.🔗 https://about.gitlab.com/blog/2025/03/24/prepare-now-docker-hub-rate-limits-will-impact-gitlab-ci-cd
TLDR A hacker details their mission to dismantle the Domain Name System (DNS) and return the web to a free state. The story involves compromising keyholders across the globe using skills in hacking, cryptography, and social engineering while clashing with corporate interests. The hacker ultimately triggers a fail-safe implemented by a keyholder that disrupts the existing DNS structure, challenging the centralized control of the internet's key security protocol.🔗 https://medium.com/@sebastiancarlos/how-to-become-a-hacker-a-step-by-step-guide-94902dc425b0
Until recently, any app on an Android device could access a list of all other installed apps without permission. Although Google's package visibility policy in Android 11 (2022) restricted this access, some apps still find ways around the policy. Notable examples include Indian apps like Swiggy and Zepto, which list hundreds of apps in their manifest files for user profiling. The policy loophole and its exploitation raise significant privacy concerns, highlighting the need for stricter enforcement.🔗 https://peabee.substack.com/p/everyone-knows-what-apps-you-use
TLDR Software teams constantly juggle speed and quality, but production issues significantly drain resources. A study of 280 developers reveals that while 62% of teams use automated testing, 30% lack performance testing, leading to bottlenecks. Engineering teams spend 10-35% of their capacity on production issues, with diagnostics consuming 70% of that time. Despite high cloud costs, only 25.7% of teams optimize code-level inefficiencies. Shifting issue detection left can reduce cloud waste, cut troubleshooting time, and improve software reliability.🔗 https://digma.ai/the-hidden-costs-of-production-issues-insights-from-280-companies
