Top 19 Facial Recognition Technologies

October 10, 2022

Facial Recognition Technologies

In recent years, biometric tools like facial recognition technologies have witnessed some groundbreaking innovations. From unlocking your mobile phone to automatically tagging photographs to diagnosing patients with genetic conditions, the possibilities are now endless.

The research firm Markets and Market expects the global facial recognition market to be worth $8.5 billion by 2025. However, the success of all these face recognition tools depends largely on adequate training data. In this scenario, the more extensive and more inclusive the data is, the better.

But before we get ahead of ourselves, let’s first define it.

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Benefits of Artificial Intelligence: How it Contributes to Our Society and Economy

September 29, 2022

Benefits of AI

Artificial Intelligence has been around for a great deal of time now. The benefits of AI gradually improving our everyday life. The technology is being used for robots that greet at shopping centers or online search engines for offering suggestions.

AI simulates human reasoning in artificial intelligence systems. It is the ability of the computer program to think and learn. Everything can be taken to be AI if it involves a program that does something that we usually think depends on human intelligence.

Innovations in the Artificial Intelligence space have led to several benefits across multiple industries. Processes are effective and efficient, convenient technologies are extensively available, and forecasts are more accurate.

In this guide, we are going to walk you through the benefits of AI.

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AI Creates New Business Models

September 29, 2022

AI Business Models

According to the 2022 PwC AI Survey, over 35% of companies and business leaders are in favor of adopting new AI solutions. The survey also highlights the widespread adoption of AI and how it can help leaders transform business operations.

AI has the power to transform a business from within and help leaders develop new capabilities. Today, a wide range of AI tools help companies streamline their processes. But to harness the true power of artificial intelligence, organizations need to make radical changes.

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How Medical Chatbots transform the Healthcare Sector

September 21, 2022

Healthcare Chatbots

The use of chatbot technology in healthcare is transforming the medical industry. These virtual assistants can provide real-time, personalized advice to people with chronic conditions and offer support for those dealing with tough symptoms or mental health issues. Chatbots are also helping patients manage their medication regimen on a day-to-day basis and get extra help from providers remotely through text messages.

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History of Machine Learning – A Journey through the Timeline

September 1, 2022

History of Machine Learning

Machine learning is a subset of Artificial Intelligence (AI) which uses algorithms to learn from data. If you are familiar with AI as it has been through the news recently in regards to fending off cyber attacks or causing self-driving cars accidents then this will be easy for you understand. The idea that machines can “learn” without being programmed by humans goes back further than just recent years though; think about the first computers in the history of machine learning and how they could only do one thing at a time.

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All about Human Intelligence & Artificial Intelligence – differences, strengths and weaknesses, human AI and more

August 25, 2022

Human Intelligence & Artificial Intelligence

Artificial intelligence has been a fascinating topic for decades, but now the technology is becoming more accessible. But does it have anything to offer us? What are the differences between human and artificial intelligence and what does the resulting human AI bring us?
We will answer these questions in this article.

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The Value of Data Quality and Data Diversity in AI models

August 15, 2022

Data Quality and Diversity

There are many different types and quality dimensions of data that contribute to an artifical intelligence (AI) model. The type and quality matter a lot, but so does the diversity. When it comes to models, accuracy is determined by how much variability there is in your dataset- more diverse means less bias because you have more options on what features exist within your dataset.

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How AI in Traffic Management is Helping to Ease Traffic Congestion

July 7, 2022

AI Road Traffic

The rapid advancement of artificial intelligence (AI) has brought about a sea change in road traffic management. AI can now predict and control the flow of people, objects, vehicles and goods at different points on the transportation network with great accuracy. In addition to providing better service for citizens than ever before, AI is also making it possible to reduce accidents by optimizing flows across intersections as well as improving safety during periods when roads are shut down due to construction or other events. Furthermore, AI’s ability to process and analyze vast amounts of data has allowed for effective mass transit, such as ride-sharing services. So how is AI revolutionizing road traffic management?

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An Introduction to Machine Learning Datasets

July 7, 2022

Machine Learning Datasets

Machine learning is one of the hottest topics in tech. The concept has been around for decades, but the conversation is heating up now thanks to its use in everything from internet searches and email spam filters to recommendation engines and self-driving cars. Machine learning training is a process by which one trains machine intelligence with data sets. To do this effectively, it is important to have a large variety of high-quality datasets at your disposal. Fortunately, there are many sources for datasets for machine learning, including public databases and proprietary datasets.

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Human in the Loop: The Human in the Machine

May 31, 2022

Human in the Loop ML

Man in the machine – a buzzword familiar from science fiction novels of the early 20th century. What this term is about in the 21st century is clear: it is about Artificial Intelligence and Machine Learning. The development and training of AI requires the intervention of natural intelligence at many points: human in the loop. In this loop, the human acts in a similar way to a teacher.

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