Each day world and humanity experience an area of digital transformation. This can be compared to the metamorphosis of a butterfly. We need to adapt quickly, combining traditional and digital methods.
Each of us is constantly connected to the Internet, and the impact of digital technology on our interaction with the outside world is becoming increasingly significant. Our lives depend on computers, which control workflows, control and make decisions in many areas of our business. We can instantly find answers to the questions we are interested in, we can communicate with anyone at will, at any time and from anywhere…
Today phrase data privacy is commonly used in our daily life. At the World Economic Forum 7 years ago one of the speakers asked the audience what people would care about in 5 years. Now we simply understand that human health is the most valuable and important thing through the pandemic. But also a high level of technology development provides widespread interest in identity and data.
Each day we give our personal information to hundreds of people or platforms: social media, banks, restaurants, markets, and even our personal computers — get and save more information than ever. …
The global LiDAR market size is projected to grow at a CAGR of 22.7% during the period 2019–2026. Driven by growing investments in the development of various business and social areas, the market will rise significantly in the coming years. According to a report published by Fortune Business Insights, titled “Light Detection and Ranging (LiDAR) Market Size, Share & Industry Analysis, By Type (Mechanical and Solid-state), By Deployment (Ground-based and Airborne), By Application (Mapping and Cartography, ADAS (Advanced driver-assistance System), Surveillance, Environment, Exploration and Detection, and Others), By Industry (Automotive, Aerospace and Defense, Healthcare, IT & Telecom, Oil & Gas…
If you want to start your project in autonomous vehicles, tsunami prediction, astronomy, or 97 more areas, you will have to use something…
Hold tight. We are meeting LiDAR.
Just like RaDAR (Radio Detection And Ranging) uses radio waves, SoNAR (Sound Navigation And Ranging) uses sound propagation, LiDAR (Light Detection And Ranging) uses light to determine ranges (variable distance) by targeting an object with the laser pulses and measuring the time for the reflected light to return to the receiver.
The pandemic of Covid-19 radically changes our professional activity. More than a year has passed since the World Health Organization declared Covid-19 as a pandemic. The future seems uncertain. We are still not sure when society returns to normal life and whether they return at all.
Hundreds of millions of people have survived and are undergoing periods of severe quarantine. Most people had to switch to remote work from home suddenly.
Many people started questioning the importance of the office environment and looking for freelancing and remote work.
In order for a neural network to be able to recognize objects and images in an image, it must first “show” what is there. Marking is intended for this purpose.
Image Annotation is an integral part of the development of artificial intelligence, and it is one of the main tasks in computer vision technology. Annotated images are needed as initial data for learning neural networks: object recognition in images allows computers to “see” the world around them like humans.
We are surrounded by millions of images on the Internet every day, and although they have no verbal description, the human brain does not hesitate to recognize the various objects in a photo, classify them, and form a common understanding of what is in the photo. Unfortunately, this is not easy for a computer to do, and it requires non-standard Machine Learning approaches.
Building an AI or ML model that acts like a human requires large volumes of training data. For a model to make decisions and take action, it must be trained to understand specific information.
Data annotation is…
The rise of artificial intelligence technology has led to the rapid spread of fake video and audio recordings around the world. The more perfect the AI becomes, the more convincing the new fakes look.
So far, deepfakes have been limited to amateur hobbyists putting celebrities’ faces on porn stars’ bodies and making politicians say funny things. However, it would be just as easy to create a deepfake of an emergency alert warning an attack was imminent, or destroy someone’s marriage with a fake sex video, or disrupt a close election by dropping a fake video or audio recording of one…
Increasingly, the progress of AI has a significant impact on our lives.
Back in 2014, we first heard about the Generative adversarial networks introduced by Ian Goodfellow.
GANs are a machine learning algorithm that belongs to a family of generating models and are built on a combination of two neural networks, Generator which creates samples and Discriminator which tries to distinguish fake samples from real ones. 
The problem is similar to a counterfeiter vs. policeman competition, where first advances counterfeiting skills alongside increasing policemen expertise.
On the Facebook yearly review meeting, one of the company’s executives announced the development of an AI system called TL;DR (Too Long; Don`t Read), which will summarize the news in short fragments .
It looks like FB is going to use summarized content and AI-optimized headlines to lure users to its new Facebook News service.
Facebook’s technology director, Mike Schrepfer, compared this summarization of AI to a “cure” for social media fake news disease. He also noted that technology will be a key tool in the fight against hate speech, misinformation, and the problem of news content, noting that Facebook…
Data Science Consultant