Natural Language Processing (NLP) has transformed from systems relying on handcrafted linguistic knowledge and co-occurrences, to statistical approaches with feature-based pattern matching, and recently into a paradigm shift based on foundations models—large scale pre-trained architectures learning representations over large amounts of data in an unsupervised way expected to capture general properties of the language across task and domain.

Industry 4.0 is bringing a new era to the manufacturing through Cyber-Physical Systems, Internet of Things (IoT) and Artificial Intelligence (AI). Introduction This contribution articulates AI and its major role as a contributor to the transition from conventional manufacturing into intelligent, data-driven manufacturing.

AI is revolutionizing the education industry one step at a time with new and improved methods of learning, assessment and insights to students well-being. AI-powered adaptive learning Intelligence can also be applied to personalizing the curricular content and instruction on who your students are, how they’re doing, the rate they learn at, and what their interests do for them based on performance so you get it all done 1)Intelligence-based algorithms allow students to have a personalized experience.

Since cyber threats and attacks on individuals, businesses and governments have escalated in numbers and severity, cybertysecurity has become of the most pressing issues of the digital era. Signature-based Detection Traditional rule and signature based detection mechanisms are well known to be insufficient in order to identify and react properly on such emerging threats. Artificial Intelligence (AI), and data driven analytics that come with it are now changing the way we think about cybersecurity – to become our Personal Predictive-Reactive-Adaptive Force.

These are arguably the evolutionarily most critical twin challenges of the 21st century. As the environmental problems become more complex and larger, we have a decision-support system, forecasting tool, and more perfect policy system. Technological advances in AI and Data Science offer new transformational prospects to use the world of climate data, improving modelling accuracy as well as agility for response times in the order of seconds.

Predictive AI is revolutionizing healthcare by making diagnoses more accurate and more customized, both AI developed drugs and precision medicine are bleeding into the medical industry. Advances in machine learning: specifically, deep learning and natural language processing, together with multimodal data integration have unlocked the potential for AI to process large amounts of heterogeneous medical information (gene basedomics, image-based diagnostics, clinical history) that can be used for early disease prevention or early risk stratification and individualized treatment algorithms.