Hellow my name is Dmitry. Once I bought "Orange PI i96", but unfortunately producer not update it firmvere very long. Last firmwere kernel version is 3.10.62 but kernel current at time this article writing (russian version) is 6.5.1. And so I decide build my own firmware from scratch, and do it from sourse completely.
Switzerland: the very name conjures up images of pristine alpine landscapes, picturesque villages, and a sense of tranquility that seems to permeate the very air you breathe. It's a country that's often synonymous with beauty, precision, and adventure. Whether you're a nature enthusiast, a history buff, or simply seeking to indulge in some of the finest chocolates and cheeses the world has to offer, Switzerland has something for everyone. So, if you're planning a trip to this enchanting land, here's a curated list of must-visit destinations and experiences that will make your journey truly unforgettable.
Mechanism Attention
Analysis of the principles of work in seq2seq tasks.
Mastering the lesson materials will allow you to study a more advanced technology: mechanism transformers
RSS 2.0 specification was published in 2009 and hasn't moved from that point. The popularity and website adoption of this standard are dropping. People stop using it as it can't compete with social networks owned by big companies, and publishers stop using it is not rewarding. Let's review, analyze, and suggest a possible alternative to RSS. We will go from a concept to a working prototype.
Since the New Year we had 7 Verilog meetups at HackerDojo. We discussed the modern way of designing digital circuits using hardware description languages, the exercises on FPGA boards and the topic of microarchitecture. For the last two sessions we went over the most basic CPU core that can be used as a baseline for further exercises.
Now, in order to make progress toward the goal of creating new educational materials, it is essential for the regular participants to solve all the homework exercises (see the details in the post below) in parallel with studying the recommended materials.
The next steps are:
1) We are going to do weekly Zoom calls on Sundays, starting March 24, 2024 at 11 am California time (summer time). The link. During this call we are going to discuss the SystemVerilog Homework and the individual projects.
2) Once we develop more materials, we are going to organize a Show-and-Tell session in Hacker Dojo, for a wider audience. During the session several participants from the core team will present demos on various FPGA boards and explain to the curious how FPGA and ASIC work.
Have you ever wondered how difficult it is to turn something you have in mind into a real product? For example, would you be surprised to see someone controlling a huge iron robot spider that can turn on the spot and walk obediently to his pilot's directions?
To realize his idea, this persistent designer overcame many obstacles: he invented the mechanism himself, mastered the skills of aluminum welding, laser cutting, 3D printing, created a reduced prototype and built one. His project stands out even among the most interesting self-made devices you've read about.
Please sit back and relax while reading this rather lengthy article. During the scrolling through, you will learn about some remarkable inventor and his resourcefulness, irrepressible life energy and practical advice to help you realize your dreams, and someone, perhaps, will be pushed to tell about his own project.
Weather, a perennial topic of conversation, influences our daily lives in myriad ways. From planning outdoor activities to safeguarding against natural disasters, understanding weather patterns is crucial. But have you ever wondered how meteorologists predict the weather with such accuracy? Let's delve into the fascinating world of weather prediction and uncover the science behind it.
I know it can be hard to learn a new programming language. In this article, I want to share my plan with you. It's a way to learn Python in eight weeks using videos, articles, and practice exercises. Exercises are very important because I think the best way to learn is by doing them.
I've created this learning plan for people who don't have much free time. You only need about 30-50 minutes a day and consistency. In my plan, I use the 80/20 principle, which will help you learn the most important things first and improve the rest through practice.
For those who read this article to the end, I have prepared a learning tracking sheet to help you track your progress.
In this article, I will tell you all you need to know about ChatGPT, show you how to use it, and teach you the right way to ask your questions.
To learn the basics, you don't need to spend your money and time watching hour-long tutorials. You can grasp the essentials in just 1-3 minutes and then enhance your skills through practice.
Today we’re diving into an exciting feature within ChatGPT that has the potential to enhance your productivity by 10, 20, 30, or even 40%. If you’re keen on learning how to leverage this feature to your advantage, make sure to read this article until the end. This feature stands out because it allows you to analyze almost anything by uploading your data and posing various questions to ChatGPT. Whether it's business data, your resume, or any other information you wish to explore, ChatGPT is here to deliver answers based on your specific dataset.
Getting feedback on the design of a digital product from the other members of the development team, stakeholders and clients is an essential part of a UX designer’s job. Ideally, it provides constructive criticism of the design, helps improve the product and perfect it as much as possible to present the best result of work to the users. But getting feedback doesn’t always happen smoothly – when communication is not established properly or the goals of the process are defined incorrectly, things can go the wrong way. In fact, both asking for feedback and giving it requires following some unwritten rules in order to make this experience useful and comfortable for all parties. In this article we’d like to discuss two things: how to ask for feedback correctly and what to consider if you’re the one who’s giving it.
Last week I was doing a seminar on SystemVerilog, ASIC and FPGA at ADA University in Baku, Azerbaijan. I will replicate the last two sessions of this seminar, on RISC-V CPU simulation and synthesis, at the Verilog Meetups on March 3 and March 10 at Hacker Dojo, Mountain View, California. For this reason I am combining the information about Azerbaijan and California seminars in a single post.
First, let's talk about ADA University.
I want you to know all the latest information, which is why in today’s article, I’ll talk about the mind-blowing AI that was released a few days ago! If you want to know more details, please read this article till the end!
Imagine a world where learning transcends physical boundaries, where virtual classrooms become as interactive and engaging as their real-world counterparts. This is not a far-off dream but a tangible reality, thanks to the fusion of 3D printing technology and virtual glasses. In this article, we'll explore how 3D printed virtual glasses are revolutionizing the concept of virtual schools.
In today's rapidly advancing technological landscape, natural language processing and comprehension have become essential components of everyday life. Leading the charge in this arena is OpenAI's ChatGPT API, renowned for its exceptional ability to understand and interact with human language. Imagine elevating ChatGPT's functionality to new heights, enabling it to carry out specific tasks based on commands given in natural language. This article aims to shed light on the potential of incorporating function calling into the ChatGPT API, thereby enhancing its utility. I will illustrate through practical examples how such extensions can unlock a myriad of opportunities and applications.
The world of manufacturing has been revolutionized by 3D printing technology, offering unprecedented flexibility and efficiency in prototype development and small-scale production. Professional 3D printers, designed for high performance and reliability, are at the forefront of this revolution, empowering industries with the ability to turn digital designs into tangible objects overnight.
In the ever-evolving world of technology, 3D scanning has emerged as a revolutionary tool, transforming the way industries operate. From engineering to healthcare, 3D scanners play a pivotal role in digitizing physical objects into precise 3D models. Whether you're a professional seeking to integrate 3D scanning into your workflow or a hobbyist exploring the realm of 3D printing, understanding the nuances of 3D scanners is crucial. This guide will navigate you through the essential factors to consider when purchasing a 3D scanner, ensuring you make an informed decision tailored to your needs.
The world of education is constantly evolving, and one of the most significant recent advancements is the integration of 3D printing. This revolutionary technology, which allows for the creation of three-dimensional objects from digital models, is changing the way educators teach and students learn. At its core, 3D printing involves layer-by-layer construction of objects, enabling the production of complex designs that were previously impossible or too expensive to build.
Metal 3D printing, also known as metal additive manufacturing, stands at the forefront of technological innovation, transforming the landscape of design, engineering, and manufacturing. Unlike traditional subtractive manufacturing processes, which cut away from a bulk material to create a part, metal 3D printing builds parts layer by layer directly from digital models. This process enables the production of parts with complex geometries that are difficult or impossible to achieve with conventional manufacturing techniques. From prototyping to full-scale production, metal 3D printing offers unparalleled flexibility, efficiency, and customization capabilities, making it a game-changer for industries worldwide.
In the age of information, the ability to accurately and quickly retrieve data relevant to a user's query is paramount. Traditional search methodologies, which rely on keyword matching, often fall short when it comes to understanding the context and nuances of user queries. Semantic search, which seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms, has emerged as a solution to these limitations. However, implementing semantic search can be complex, involving advanced algorithms and understanding of natural language processing (NLP).
Existing solutions such as Elasticsearch and Solr have been at the forefront of tackling these challenges, providing platforms that support more nuanced search capabilities. These tools use a combination of inverted indices and text analysis techniques to improve search outcomes. Yet, the advent of machine learning and vector search technologies opens up new avenues for enhancing semantic search, with solutions like OpenAI's Embeddings API and the pgvector extension for PostgreSQL leading the charge.