The general public often encounters complex texts but does not have the time or expertise to fully understand them, leading to the spread of misinformation. Automatic Text Simplification (ATS) helps make information more accessible, but its evaluation methods have not kept up with advances in text generation, especially with Large Language Models (LLMs). In particular, recent studies have shown that current ATS metrics do not correlate with the presence of errors. Manual inspections have further revealed a variety of errors, underscoring the need for a more nuanced evaluation framework, which is currently lacking. This resource paper addresses this gap by introducing a test collection for detecting and classifying errors in simplified texts. First, we propose a taxonomy of errors, with a formal focus on information distortion. Next, we introduce a parallel dataset of automatically simplified scientific texts. This dataset has been human-annotated with labels based on our proposed taxonomy. Finally, we analyze the quality of the dataset, and we study the performance of existing models to detect and classify errors from that taxonomy. These contributions give researchers the tools to better evaluate errors in ATS, develop more reliable models, and ultimately improve the quality of automatically simplified texts.

Artificial intelligence (AI) is one of the current advancements in the modern era. Together with machine learning, they have revolutionized how businesses interact and engage with their production line, other organizations, and customers. Many experts consider these advanced solutions as game changes, with the ability to make life better for everyone. Over the last few years, all manufacturing, healthcare, retail, and more sectors have adopted AI. This adoption has transformed their core processes and business models, improving their competitive advantage.

Patna: The director of Software Technology Park of India, Subodh Sachchan, on Friday said artificial intelligence and machine learning have applications in different fields of learning right from primary to higher education and research. In fact, the modern era belongs to artificial intelligence (AI), he said. Addressing the webinar as the main speaker on'Artificial Intelligence And Machine Learning' organised by the Patna University-UGC Human Resource Development Centre for college and university teachers of the state, Sachchan pointed out that AI is no longer confined to science and engineering education only, but it is fast becoming almost indispensable for all branches of learning. Digital technology found its greatest applications in the field of education during Covid-19 AI can drive efficiency, personalization and streamline administrative tasks to allow teachers the time and freedom to provide understanding and adaptability. By leveraging the best attributes of machines and teachers, the vision for artificial intelligence is one where they work together for the best outcome for students, he said.

Artificial intelligence (AI) is a category of software that can do things that would normally need human intelligence, like vision, speech recognition, decision-making, and language translation. Artificial intelligence does not have to be sentient; in fact, the term "artificial intelligence" was coined to differentiate it from natural intelligence. It can also apply to any technology that enables computers or machines to perform jobs that would otherwise necessitate human intelligence. An AI can study the data strings it needs to complete its work. The machine will analyze the data and use it to improve its overall performance. As a result, the machine can respond fast to a crisis.

In this modern era of the digital world where people are trying to find simplicity and ease in doing works, moreover, these new inventions are booming out for making mankind a way to lead a simple life using different technologies and ways among that one is Artificial intelligence or shortly known as AI a progressively increasing field of study which having its touch in every area starting from social media to e-commerce websites for a good recommendation of posts of our type and products based on search recommendations along within the different domains like agriculture, virtual assistance, shopping recommendations and for physically disabled people, security, stock market prediction, self-driving cars and many more. This modern era of AI can visualize things and understand real-time around us and can make optimal decisions and remove real-time problems moreover for the efficient work in addition with the reduction of human errors. How Ai is useful for disabled persons? Nowadays everyone has a mobile phone or any electronic devices, we spend more time of day with these devices and the development of this advanced technology like artificial intelligence and natural language processing, iot made their roots into our daily life's electronics and these developed features can be used in different ways where people who are suffering from disabilities can remove their problems or inconvenience related easily without any help of other person using apps and software's developed by advance technology. There is a different type of disabilities people face and mainly with Vision, Hearing, Prosthetics are three kinds mostly we can observe in the world, different technologies are present for vision-related issues such as braille displays and writing and many more for a long time, and in recent times AI has changed this thing and improved the way of interacting.

AI refers to the synchronization of human intelligence and machines so that machines can think like humans and perform actions more smartly and accurately. If the machine able to find out the pattern of any problem and provide solution accordingly based on the structured or unstructured data, could recognize voice or image and respond in a meaningful way then it is artificial intelligence. AI is now being utilized in almost every sector including health care, Industrial machines, Education, Marketing, E-Commerce, Financial Markets and services etc. In this modern era, AI has a lot of applications in health care industry. It ranges from small to large scale applications like digital consultation, disease diagnosis, earlier cancer detection, blood scanning, and robotics in surgery, precision medicine, and drug discovery, and so on. AI in health care has saved time up to maximum extent and now more patients can be treated more efficiently.

The Rise of Artificial Intelligence has resulted in the creation of rapid world-changing technologies that can impact the future of all entities, preferably for the better of humanity. The modern generation of the world is technologically advanced, and the pace of advancements and improvements is continuously increasing with no signs of slowing down. The current era we all live in will prove to be the most influential period of all time. The Curve of improvements in humanity has always tended to be an exponential curve. With the discovery of the fire way dating back to thousands of years ago, to the discovery of the wheel, to the inventions of high-quality developments in the 17th and 18th Century, and finally, to the modern era of technological advancements where the majority of the inventions have been made.

Machine Learning (ML) is reshaping the financial services like never before. It has become more prominent recently due to the availability of a vast range of data and more affordable computing power. It helps financial companies and banks to stand out of the box and achieve desired business growth. In the modern era, financial institutions are running a race towards digitisation. Staying ahead of technological advancements is a mandatory resort for them.

The evolution of artificial intelligence (AI) grew with the complexity of the languages available for development. In 1959, Arthur Samuel developed a self-learning checkers program at IBM on an IBM 701 computer using the native instructions of the machine (quite a feat given search trees and alpha-beta pruning). But today, AI is developed using various languages, from Lisp to Python to R. This article explores the languages that evolved for AI and machine learning. The programming languages that are used to build AI and machine learning applications vary. Each application has its own constraints and requirements, and some languages are better than others in particular problem domains.

Has Netflix's sizeable investment in original science-fiction movies been a bust? By one popular metric, Rotten Tomatoes, the answer would seem to be: Categorically. Since 2017's Okja, a feisty ecological fairy tale by Korean filmmaker Bong Joon-ho, Netflix has put out seven back-to-back stinkers, their average "freshness" score rounding up to 30 percent. Only one of the seven can be called unwatchable: Duncan Jones' Mute, an overlong and sexually confused nightclub noir that trips over itself to imagine a neon-colored vision of future Berlin peopled by the likes of a mustachioed Paul Rudd. This is terribly sad, considering the director's first two films, Moon and Source Code, were the exact opposite--careful, contained stories that played out in modest settings.