Autonomous Farming: The Future of the Agriculture Industry

February 10, 2023

Autonomous Farming

The agricultural industry is in a state of flux. With the world’s population continuing to grow and climate change affecting growing conditions, farmers are under pressure to produce more food with fewer resources. One potential solution to this problem is autonomous farming (AF): An emerging technology that uses robots and other automated systems, powered by aritifial intelligence (AI) and machine learning (ML), to perform tasks traditionally done by human workers, such as planting, harvesting, and applying pesticides and fertilizers.

In this blog post, we will explore the potential benefits and challenges of AF. We will also provide an overview of some of the companies that are working on this technology.

Read more

AI Training Data Guide: Essentials of AI Data Solutions

January 10, 2023

AI Training Data Guide

In recent years, AI has become more and more commonplace in our lives. From digital assistants like Siri and Alexa to the increasing use of autonomous vehicles, AI is infiltrating every aspect of our lives. As this technology continues to evolve, it’s important that we understand how to use it properly and train ourselves to work with its many applications. In this AI training guide, we’ll provide an overview of AI and discuss some methods for training yourself in its use. So whether you’re a business owner looking to utilize AI in your operations or just curious about this growing technology, read on for everything you need to know about the AI training guide.

Read more

Human Annotated Data – All You Need to Know About It

December 21, 2022

Human Annotated Data

Digitalization is rapidly bringing in new technology that is making our lives easier. Businesses now have access to tools and technologies that help them streamline their process. Today, companies are looking to leverage AI (Artificial Intelligence) and ML (Machine Learning) capabilities to get a competitive edge over others.

Machine Learning is now becoming a vital element of business operations. The AI and ML models’ performance depends on the data quality they work with. Therefore, it shows how important it is to collect suitable datasets for Machine Learning and what methods we should use to collect them.

Read more

Online face recognition: Face recognition with the help of AI

December 12, 2022

Online face recognition

Identifying a face in images and videos is a standard task for artificial intelligence systems. Algorithms for online face recognition are trained based on millions of images obtained from the Internet and achieve increasingly reliable results. This not only applies to the assignment of image data to a specific person, but also to facial mood recognition and other relevant information for a wide range of applications.

Read more

Interoperability and the Future of Machine Learning

November 30, 2022

Interoperability Machine Learning

Artificial Intelligence and its subset Machine Learning are at the heart of innovation for digitally transformed businesses. However, ML, in particular, needs to be highly interoperable for smart technologies to be truly disruptive and innovative at scale.

If there was no interoperability, AI development would be limited and only accessible to big tech. This is because only tech giants have access to the necessary resources and, more importantly, the most data that makes continuous and meaningful learning possible.

Read more

Text-to-speech: Listening instead of reading

November 28, 2022

Text-to-speech (TTS) – this term is virtually self-explanatory: With a text-to-speech service you can convert written text into spoken words. The programs used are being continually further developed. Although there are still no applications today in which the machine origin of the spoken word is not discernible, the technological progress is unstoppable. And with every improvement of the technology, these systems will be able to create more and more natural sounding voices.

What are the advantages of text-to-speech systems? Most importantly, vision-impaired people can benefit from those systems. In addition, they can also be used by companies as a means of expanding their outreach.

Read more

The Top 6 Types of Machine Learning Algorithms You Should Know

November 24, 2022

Machine learning algorithms

Machine learning algorithms can be applied to a number of tasks, including decision-making and data mining. It’s critical to select the appropriate machine learning software and hardware for the work at hand because there are a variety of options available. To evaluate how well a machine learning algorithm is performing, a variety of model assessments can be used. The proper machine learning algorithm should be selected for the task at hand after being aware of the limits of each one.

Read more

Applications of Natural Language Processing (NLP) and NLP Data Sets

November 8, 2022
NLP data sets

Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with the interaction between humans and computers using natural language.
NLP data sets are used to train models that can then be used for various tasks such as text classification, entity recognition, machine translation, etc.
There are many different applications of NLP, and in this post we will take a look at some of the most popular and the importance of NLP data sets for training applications.

Read more

Data Preprocessing: How To Process Your Data For Optimal Performance

November 7, 2022

Data Preprocessing

Data preprocessing is one of the early steps of creating and utilizing a machine learning model. In this step, the raw data is prepared to be suitable for feeding to the machine learning model. It is often the first step undertaken when creating a machine learning project, as the availability of clean and well-formatted data is not always possible.

Read more

How Does Speech Recognition Work: Behind The Scenes Using AI

November 2, 2022

how does speech recognition work

Speech recognition is becoming a popular “must have” feature. It has been around for over 50 years and developed by several companies in the United States, Europe, Japan and China. But what people don’t know is that it also requires a lot of work behind the scenes to make speech recognition possible as well as practical.

Read more