Healthcare and Medicine are under constant pressure to provide patient-driven medical expertise to ensure a fast and accurate treatment of the patient. In such scenarios, the diagnosis contains, the family history, long term medical data and a detailed consultation with the patient. In time-critical emergencies, such conversation and time-consuming elaboration are not possible. Rescue services need to provide fast, reliable treatments for the patient in need. With the help of modern technologies, like treatment recommendations, real-time vitals-monitoring, and situation detection through artificial intelligence (AI) a situation can be analyzed and supported in providing fast, accurate patient-data-driven medical treatments. In KIRETT, a wearable device is developed to support in such scenarios and presents a way to provide treatment recommendation in rescue services. The objective of this paper is to present the quantitative results of a two-day KIRETT evaluation (14 participants) to analyze the needs of rescue operators in healthcare.

Natural language processing (NLP) is a field of study that combines computer science and linguistics to help machines understand human language. NLP has become an integral part of modern technology, powering everything from chatbots to voice assistants. But how exactly do NLP algorithms work? And why do they matter? At its core, NLP is about teaching machines to understand human language.

Integrating AI and machine learning allow users to seamlessly integrate several IoT projects with improved processing and learning skills without …

The 20th century was rich in tech innovations, revolutionary ideas, and scientific concepts that significantly changed people's lives. Many of the technologies we use today, such as computers, the Internet, printers, the World Wide Web (WWW), and even the first artificial intelligence (AI) computer, were created in the previous century thanks to many great scientists. Alan Turing was and still is one of the greatest mathematicians and computer scientists of the 20th century, often considered the father of computer science. Hence, in this article, we talk about the life of Alan Turing and his mathematical and technical discoveries. If you are looking for more information on modern technology, check out these AITJ articles: 5 Ways AI can Improve Environmental Sustainability and The Law of Accelerating Returns, Superintelligence, and The Technological Singularity.

The healthcare industry is in a period of rapid change. Between the staffing crisis, rampant burnout and large non-medical corporations like Amazon and Walmart making bold entrances, forward-thinking, agile organizations must become technological trailblazers to come out stronger on the other side. In the next few years, health systems will either become disruptors, or they will be disrupted. Healthcare has always been conservative in adopting modern technologies, but digital tools are here to stay in the age of Big Data. Organizations that position themselves to embrace advancements will be the ones that can weather the massive changes coming for the industry.

Environmental problems become more urgent and affect the lives of people, marine life, and various animal species. Only in 2022, forest fires in Spain, France, and many other countries worldwide led to the destruction of animals' natural habitats, a decrease in the number of air producers, and many harmful outcomes for local residents. Although it is hard to say if humanity can still stop global warming and other environmental issues, there are some ways to restrain their development, and the utilization of renewable energy sources is among them. In this article, we list the best and most innovative renewable energy companies to keep on your radar this year. Moreover, if you are seeking more information on how modern technology can help us prevent global environmental catastrophes, read these AITJ articles: 5 Ways AI Can Improve Environmental Sustainability and How AI Helps Clean Oceans from Plastics.

Experience with Spark or Hadoop is nice to have. Experience with React/Node is nice to have.

Artificial Intelligence (AI) is one of the modern technologies that continue to change how people do things. The relevance of AI is felt in all aspects of life including work, communication, and the economy. However, just like every modern technology, AI has its challenges despite its potential to make lives better. Securing data is one of the biggest challenges facing the AI industry. Since AI requires large volumes of data, data is collected from millions of users to feed AI Systems.

The manufacturing industry includes a broad range of businesses varying in size, from small manufacturers producing limited quantities of items to multi-national organisations involved in the large-scale production of manufactured goods. This industry encompasses manufacturers of food and beverages to textiles, chemical manufacturing and even heavy machinery. As an industry, manufacturing contributes around $100 billion to the Australian GDP annually (ABS, 2020). Thus, an industry with such varying degrees of complexity, breadth and scale is one that seeks to maximise the broad benefits of cloud technologies. Regardless of the end product, commonly faced challenges experienced within the manufacturing industry include innovation, risk management, operational efficiency and cost optimisation, remaining sustainable and time to market.

With newer divisions to the world of technology and novel discoveries and explorations, it is difficult, and almost impossible to keep up with the present-day status of science and the level of had achieved in a very small period. All of us have come across terms like Artificial intelligence, machine learning, and deep learning but the deeper meaning to it and mainly the difference between them is not visible to us. Only the professionals seem to have a proper idea about each term and where they are applied. It is quite true that the whole studies itself are quite complex as much as it is interesting. Therefore one has to explore the waters of advanced technology attentively after studying its details from the very basic level to actually get to know what it is about.