Emerging technologies like artificial intelligence (AI) and machine learning are transforming almost all industries, healthcare industry is one of them. Such technologies are being used in all phases of the value chain, enhancing medical diagnosis and treatment, as well as medication…
A Deep Dive into How Annotation Works in Machine Learning
In the realm of machine learning, data serves as the fundamental building block upon which algorithms learn and make precise predictions. Nonetheless, raw data usually lacks the essential context required for machines to grasp its meaning. This is where annotation, the…
Technologies Powering AI Tools and Breakthrough Use Cases Across Industries
In today’s digital landscape, artificial intelligence (AI) has become a driving force, reshaping problem-solving and decision-making. At the forefront of this transformation are AI tools, powerful software applications that harness AI techniques to tackle complex tasks and unlock new possibilities in…
How Intelligent Virtual Assistants are Revolutionizing Industries
An intelligent virtual assistant (IVA) is a software program that uses artificial intelligence (AI) to perform different activities or provide services for individuals in terms of the response or tasks given to them. IVAs are typically designed to understand natural language…
Long Short Term Memory Networks: What It Is and How It Works?
Machine learning is a powerful technique that learns and improves from its experience by developing algorithms. Algorithms are programs that compute, access, and process input data and predict results. The machine learning model is designed to compute complex computations, and learn…
How Private 5G Networks are Shaping the Future of Enterprise Solutions
A private 5G network is a network carrying all the key capabilities of 5G, however, it is isolated from the public 5G network provided by any Mobile Network Operator (MNO) or connected in a restricted manner. A private 5G network is…
Improve Production Line Quality Using Machine Learning At The Edge
The industry 4.0 paradigm encourages the manufacturing industry to use machine learning, artificial intelligence, cloud computing and industrial internet of things (IIoT) technologies to improve industrial process, product quality, reduce cost and time to market. Machine learning algorithms act as an…
AWS Vs. Azure Vs. Google Cloud: Comparing Top Cloud Platforms For MLaaS
Machine Learning has become a pioneer in the data-driven world. Most enterprises use Machine Learning and Data Analytics to better understand their target audience, automate some of their production, create better products according to market demand, improve business performance, etc. All…
5 Important Applications of Machine Learning in Networking
Rapidly rising demand for Internet connectivity has put a strain on improving network infrastructure, performance and other critical parameters. Network administrators have to encounter different types of network running multiple network applications. Each network application has its own set of features…
Data Augmentation and its Importance in Machine Learning
The quantity and variation of data are important for the performance of most ML models (e.g. deep learning neural network models). Thus, the training of the neural network models requires a very large dataset. Then only it can achieve the accuracy…