The robotics industry is undergoing a significant transformation, moving beyond static systems and rigid programming to dynamic, adaptive solutions powered by artificial intelligence (AI). With these advancements, robots are increasingly capable of real-time decision-making and learning, opening up new opportunities to enhance workplace safety and efficiency.
What if you could build an entire Web App just by describing it? Today, I'll show you how Vercel's V0 revolutionizes web development. In about 5 minutes, you'll learn how to turn text into a production-ready Web App. Let's dive in!
Napkin AI is an innovative artificial intelligence tool that transforms text descriptions into visual sketches and diagrams. Launched in 2023, this toolallows users to quickly convert their ideas into visual representations, similar to drawing on a napkin — hence the name. In this tutorial, I will walk you through its top features and provide a video demonstration.
Have you ever felt overwhelmed trying to make sense of dense notes or wished you could listen to them like a podcast while on the go? In this article, I’ll share the tool that could help you turn text into engaging audio podcasts; I believe it could help you learn new things faster and more effectively.
In today’s article, I’m going to show you a simple, free tool that can help you create great prompts for any AI model you use—whether it’s ChatGPT, Midjourney, or something else.
Dear Colleagues and Friends,
Since I am only an IT college student so I have not been involved in any serious project in the IT field. However, I hope that my student membership in AСM allows me to share my views with established professionals and thus join a broad and constructive discussion on AI issues.
Over the past couple of years, the topic of harmonious development of technologies based on the fruits of AI has attracted everyone's close attention. In an effort to understand the current stage of development of this technology and its perception by society and the government, I attended a lot of online events (including extremely enriching ACM Talks webinars), read dozens of articles in the professional and business press, studied regulations AI issues by EU, US and UN.
However, I do not see or feel that this collective search has harmonized the views on AI development expressed by inventors, representatives of the business community, IT specialists, and current and future users of AI products.
As a future IT professional, I would like to see less confrontation and more solidarity regarding the global technological breakthrough.
As an accomplished legal professional, I see that now is an important moment to move from honing the principles of working with AI to formulating and implementing (somewhat proactively) specific mechanisms for the implementation of AI products, as well as establishing fair and responsible regulation of their social and legal consequences.
In the context of the above, I offer for consideration my views on two aspects of the development and implementation of AI technologies:
OpenStreetMap (OSM) is a global project formed around a geographic information database which is being filled by all comers — both enthusiasts and interested companies. Anybody can contribute, but the openness has its downside: incorrect edits often get into the database. Hence plenty of validators of OSM data have been written which allow to maintain the data quality at an acceptable level.
Since 2016 there exists an open source subway preprocessor that validates (generates error reports) rapid transit routes in OSM for completeness and logical/topological errors, and converts them into formats that are suitable for routing and rendering, e.g. GTFS. Besides OSM data it takes a list of public transport (PT) networks which contains the checking information about the number of lines, stations etc. per a PT network. The preprocessor has successfully proven itself in the preparation of PT data for applications such as Maps.me and Organic Maps.
In this article, I would like to share an approach to detecting one of the types of errors that occur quite often in OSM data and automatic detection of which is somewhat challenging. It's an accidental loss of a station from a route. The source code of the validator and the described algorithm are open source. But first, let's define the concepts used to represent PT data in OpenStreetMap.
Issues of cooperation in the field of regulation of computing power, joint insurance of AI products, and determining the social status and protection of persons with a hybrid nervous system (hybrid people)
Dear Colleagues and Friends,
In furtherance of the discussion on the topic of "Key technology policy issues will be grappling with in 2025", let me outline some mullings at the intersection of the theory and practice of computer science, law, and neuroethics.
«Our society and thus each individual has the possibility to (help) decide how the world, in which we want to live with artificial intelligence in the future, should look. Philosophy, law, and technology play a central role in the discourse that has to be conducted for this purpose» (from Fraunhofer IAIS’s report «Trustworty use of AI»).
Essential idea of that proposals - drawing from the deep technical expertise of the computing community, to provide to policy leaders and stakeholders nonpartisan theses on policy gaps in the field of neuroethics, development and implementation of ML/AI tools. It is preferable that this regulation be a harmonious symbiosis of legal norms both at the state level and at the level of socially responsible professional communities.
The approach mentioned in paragraph 6.2 of The CEN-CENELEC Focus Group Report: Road Map on Artificial Intelligence (AI) and, in fact, focused on autonomous self-regulation of AI tools (systems) seems inappropriate to current risks and treats: “An alternative approach is that the system itself ensures that modifications of its functionality due to self-learning have no negative impact on assessment topics like safety or fairness”. Further, in the same place, the potential ineffectiveness of the certification system for AI tools is actually recognized: “For artificial intelligence systems that learn as they are used, the problem is that the behavior of the system changes continuously and will require a new conformity assessment each time.”
Two powerful AI tools are making waves in the world: NEW ChatGPT Search and Perplexity AI. But which one is better for you? I've tested them and want to share my results.
I recently explored two powerful AI tools — NotebookLM and Perplexity Spaces — and want to share my comprehensive review of these research assistants.
So let’s talk about the word yes. Another way to say it is that, we need to give some positive statements to make a sale.
I said, in the last article that Russians and Eastern European people are much more reserved with giving the answer of yes. So in this culture, it is normal to wait to have more facts about what the work will be for giving a positive answer. But this creates real problem and an absolute block when it comes to selling your IT software and project development to western cultures!
Let’s break this down into understandable pieces.
In this article, I'm going to show you how you can easily transcribe audio and video files on your own computer using Whisper WebGPU — without needing an internet connection.
OpenAI has recently launched a new feature called Canvas for ChatGPT, designed to enhance users' interactions with AI for writing and coding projects. This new interface aims to provide a more collaborative and interactive experience, moving beyond the traditional chat format. In this article, I'll cover the top features of ChatGPT Canvas and show how to use it.
Did you know you can run powerful AI models right on your computer? It's true! Today, I will show you how easy it is to get started with Llama 3.2 and OpenWebUI.
Wilhelm Röntgen discovered X-ray November 8th 1895, when he did experiments with cathode rays in a vacuum tube. To capture and save images of the shadows from the X-rays, he used ordinary photoplates. Fortunately, sensitive to visible light silver based photoemulsions turned out to be sensitive to the X-ray too. These photoplates became the first X-ray detectors.
More than 100 years of scientific progress led to the creation of a number of various detectors for recording X-ray images. Developments of the microelectronics and semiconductor manufacturing technologies are crucial for development of the modern X-ray detectors. These detectors can transform the energy of the X-ray photon directly to the electrical signal. They allow capturing detailed, digital, high-resolution X-ray images.
Digital images are easy to work with. For example one can merge multiple macro images into an image of the whole object and represent monochrome images in false colors like Simon Procz did with this X-ray image of a flower he did in 2012.
Did you know that coding tools have evolved so rapidly that they're now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I'll show you what Replit is and how to use it.
Today, we'll explore Cursor AI. Whether you're an experienced developer or a beginner, this article will be helpful because this tool will change how we code.
Over the past two years, artificial intelligence has become one of the main topics in the media and many famous people have expressed their thoughts on this topic. But if you start searching on the Internet for collections of quotes about AI, you will mostly find quotes from CEOs of multi-billion dollar companies, futurists and scientists conducting research in this field. Moreover, these collections are so similar to each other, which sometimes gives the impression that they were compiled by AI. In this article, I have collected quotes from world famous people who are usually not included in such collections of quotes:
Hello everyone, this is Denis Weber.
One day, I was once again looking for a 3d model on stock for my project and came across a neural network that can create high-quality 3d models in just a couple of clicks. And I wondered if it would be possible to create something like a music video using only the capabilities of existing neural networks?
If you prefer the video format, I will leave a link to the video at the end of the post.
My name is Paul Karol and I work as a director in a Russian IT company that mostly sells their products in the international market.
I have been deeply involved in a project and I haven’t had time to write here lately.
But out of this work came an understanding of two very large Mistakes that are being made that prevent your pre-sales from succeeding.
I’m going to go into deeper detail on each one of these issues in the next articles, but I will introduce them here now.
Let me make you a promise….. if you correct these two issues, your software and development projects will sell.
**I have a proven track record. If these areas are fixed the company begins to sell 150 % more than they’ve ever sold in the past.
150% more profits!
