Artificial-intelligence

In today fast-paced financial landscape, harnessing the power of machine learning algorithms is a promessing approach for decision-making in the stock market. However, before diving into the realm of predictive analytics and algorithmic trading, one must first master the foundational step - acquiring reliable and comprehensive stock market data. In this introductory guide, we'll explore how to get started with fetching stock market data using Python, laying the groundwork for subsequent machine learning applications in finance.

Just a few days ago, a new model of the Yolo family was presented. Its main trick is that, unlike its older brothers, it is able to recognize virtually any object in the image (which are of interest to a person) without prior training and it does it in real-time mode! Sounds pretty good, doesn't it? In this article we will try to understand what magic is hiding inside the new architecture. I would like to say that this article will be more of an introductory one, so I recommend those who like strict math to read the original article after reading it. But before we start the review, let's learn/remember the main types of object detection tasks in an image.

Danger lurks everywhere. Any human activity, be it work or pleasure, can be a source of great problems or even lethal consequences. It sounds quite frightening and extremely pessimistic. If one is afraid of everything in the world, then life loses its meaning, but no one forbids using caution where it is necessary. And within the framework of alcohol consumption, caution is simply inherent. Researchers from the University of Michigan (Ann Arbor, Michigan, USA) conducted a study that suggests that using artificial intelligence to scan surgical patients medical records for signs of risky alcohol use could help identify those whose alcohol use increases their risk of problems during and after surgery. How was the AI configured, how did the AI perform, and what new things did the AI tell us? We find the answers to these questions in the researchers' report.

Machine learning large language models on custom datasets makes the models much smarter. There is a success story of the Alpaca dataset. It works wonders with models that at first, if they could do something, they did it very badly. We set out to understand how it iss done, and more importantly, what the challenges are along the way and whether newbies like us can figure it out.

The story of machine uprising has long been familiar to all science fiction fans, but after the explosive growth of neural network language models (like ChatGPT), serious researchers have started talking about this risk. In this article, we will try to understand whether there are grounds for such fears, or are they just the ravings of an inflamed head?

In this article, we will break down the amazing new abilities of the latest language model from the GPT family (from understanding memes to programming), dig a little under the hood, and try to understand - how close is artificial intelligence to the line of its safe use?

Recently, almost every day we are told in the news about the next heights that language neural networks have conquered, and why they will definitely leave you unemployed in a month. But few people understand how neural networks like ChatGPT work inside? So, make yourself comfortable - in this article, we will finally explain everything in a way that even a six-year-old humanist can understand!

Just recently released an app store from OpenAI, called GPTs. According to the company, You can now create your own versions of ChatGPT, combining instructions, additional knowledge, and any combination of skills(read as APIs)

Artificial intelligence (AI) has revolutionized the way we create and manipulate images. In this post, we’ll introduce you to five AI image creation tools that you might not have heard of before. These tools use machine learning algorithms to generate unique and interesting images that you can use for a variety of purposes.

Nikon, Sony Group and Canon are working on implementing digital signatures in their cameras that will confirm the authenticity and source of origin of images

2023 was an excellent year for the whole AI-industry. But what we should expect as AI breakthrough future tech in 2024? Martin Signoux, Public Policy Manager at Meta gives us some insides on this vison.

In this article, we explore the multifaceted nature of Artificial Intelligence (AI) through the lens of five distinct definitions provided by prominent authors in the field.