Staying updated with the latest in technology is more important than ever, especially for students who are preparing to navigate the digital landscape of tomorrow. From breakthrough innovations to emerging trends, technology news offers valuable insights that can shape academic pursuits, career choices, and everyday life. In this article, we’ll explore some of the most captivating and relevant technology news stories that are sure to pique the interest of students across various fields of study.
Tech articles for AI, NLP, and data science students
Article 1. Data Science and Artificial Intelligence: Learn Differences
Summary of this article: In the ever-evolving landscape of technology, Data Science and Artificial Intelligence stand at the forefront of innovation, shaping industries and driving progress. To embark on a rewarding career in these fields, aspiring professionals can benefit from Simplilearn’s esteemed PG Program in AI and Machine Learning and Post Graduate Program in Data Science. These comprehensive programs offer in-depth knowledge, hands-on projects, and mentorship from industry experts, empowering learners to leverage data for insights and develop intelligent systems. Embrace the future with Simplilearn’s top-notch programs and unlock the boundless potential of Data Science and Artificial Intelligence.
You read this complete article at: https://www.simplilearn.com/data-science-and-ai-article
Article 2. Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0
Summary of this article: The study concluded that NLP and AI is the preferred system for enterprise management in the era of Industry 4.0 to understand customers’ demands and achieve customer satisfaction. The study uses text content as part of NLP and AI demonstrated by way of example in the methodology section to let us understand how companies capture customers’ insight and how they use IoTs to influence the way we react, respond, and engage with their products. The result from analyses indicates the least score of 12 out of 15 grades for all the measurements on a behavior-oriented drive and influential function of IoTs on customers. The study findings are based on text content as part of NLP and AI that IoTs use to influence human reactions, responses, and engagement with enterprise management in Industry 4.0. The “Behavior-oriented drive and influential function of IoTs on Customers in Industry 4.0” concept are critically examined.
You read this complete article at: https://www.mdpi.com/2076-3417/12/18/9207
Article 3. Using natural language processing to improve everyday life
Summary of this article: Overall, the article provides insights into the ongoing efforts to leverage AI and NLP for practical applications, with Dr. Chai’s work serving as an example of how these technologies can be applied to improve various aspects of human-machine interaction and everyday tasks.
You read this complete article at:https://arc.umich.edu/using-natural-language-processing-to-improve-everyday-life/
Article 4. The Power of Natural Language Processing
Summary of this article: The conventional wisdom around AI has been that while computers have the edge over humans when it comes to data-driven decision making, it can’t compete on qualitative tasks. That, however, is changing. Natural language processing (NLP) tools have advanced rapidly and can help with writing, coding, and discipline-specific reasoning. Companies that want to make use of this new tech should focus on the following: 1) Identify text data assets and determine how the latest techniques can be leveraged to add value for your firm, 2) understand how you might leverage AI-based language technologies to make better decisions or reorganize your skilled labor, 3) begin incorporating new language-based AI tools for a variety of tasks to better understand their capabilities, and 4) don’t underestimate the transformative potential of AI.
You read this complete article at:https://hbr.org/2022/04/the-power-of-natural-language-processing
Article 5. What is AI? Everything to know about artificial intelligence
Summary of this article: artificial intelligence can’t run independently. While many jobs with routine, repetitive data work might be automated, workers in other jobs can use tools like generative AI to become more productive and efficient.
There’s a broad range of opinions among AI experts about how quickly artificially intelligent systems will surpass human capabilities.
You read this complete article at:https://www.zdnet.com/article/what-is-ai-heres-everything-you-need-to-know-about-artificial-intelligence/
Article 6. The role of natural language processing in AI
Summary of this article: Whether your interest is in data science or artificial intelligence, the world of natural language processing offers solutions to real-world problems all the time. This fascinating and growing area of computer science has the potential to change the face of many industries and sectors and you could be at the forefront.
You read this complete article at:https://online.york.ac.uk/the-role-of-natural-language-processing-in-ai/
Article 7. The Data Science and AI Handbook – How to Start a Career in Data Science
Summary of this article: There has never been a more exciting time to start your journey into the worlds of Data Science, and AI. Opportunities are growing every day thanks to the demand for professionals who have the right skills and the rapid advancements in AI and automation.
You read this complete article at:https://www.freecodecamp.org/news/the-data-science-and-ai-handbook/
Article 8. The Role of Natural Language Processing in AI
Summary of this article: NLP is a fast-growing niche of computer science, and it has the potential to alter the workings of many different industries. Its significance is a powerful indicator of the capabilities of AI in its pursuit to reach human-level intelligence. As a result, the progress and advancements in the field of NLP will play a significant role in the overall development and growth of AI.
You read this complete article at:https://onlinedegrees.sandiego.edu/natural-language-processing-overview/
Article 9. Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Summary of this article: Overall, the combination of AI, ML, and DL with robotics has the potential to create a wide range of applications that can benefit society in various ways. The combination of AI, ML, and DL in advanced robotics is enabling the development of robots that are more intelligent, versatile, and capable than ever before. In advanced robotics, these technologies are used to create robots that can perform complex tasks and learn from experience. AI, ML, and DL can be used to improve the accuracy of autonomous vehicles, allowing robots to operate them more safely and effectively. There are many exciting research directions and applications of AI, ML, and DL in robotics, and the field is likely to continue to grow and evolve rapidly in the coming years. Continued research in this field is likely to lead to exciting new developments in the years to come.
You can read this complete article at: https://www.sciencedirect.com/science/article/pii/S2667241323000113
Article 10. Data Science vs. Artificial Intelligence & Machine Learning: What’s the Difference?
The Master of Data Science at Rice University is a great way to enhance your engineering skills and prepare you for a professional data science career in machine learning or AI.
You can read this complete article at:https://csweb.rice.edu/academics/graduate-programs/online-mds/blog/data-science-vs-ai-and-ml
Hope you leverage informative content with our collecting 10 articles for Technology news articles for students.
