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…
The price of Bitcoin on Thursday, January 7, exceeded the mark of 40 thousand US dollars and reached the mark of $40380, according to the portal CoinMarketCap, raising by almost 10,000.
I was wondering what are the reasons for such abnormal even by bitcoin standards vitality. Here is what I found.
A bit of history at first. After its appearance in February 2009, bitcoin experienced a sharp rise, because initially this digital currency cost only a few cents. In the first years of its existence, this virtual money did not attract much public attention. …
Machine learning (ML) can address modern oil & gas business and technical challenges, as well as bridge the gap between exploration data, science, IT, business stakeholders, and end-users.
In our recent webinar, “Machine learning for Exploration with Amazon SageMaker” SoftServe and AWS dove into how to quickly reach drill or no drill decisions from huge amount of seismic data, how to set up correct workflows in reservoir economics, and ultimately reduce the time to first oil production.
There are numerous ways ML can help automate your routine and manual interpretation steps. …
Data Science Consultant