Session 1. Internet of Things: The Internet of things describes physical objects with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Session 2. Artificial Intelligence: AI branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions. So AI also called as "a man-made thinking power." Artificial intelligence is one of the booming technologies of computer science which is ready to create a new revolution in the world by making intelligent machines.AI makes it possible for machines to learn from experience, to perform human-like tasks. These machines make decisions which normally require a human level of expertise.
Session 3. Machine Learning: Machine learning is an area of artificial intelligence with the concept of computer program can learn and adapt to new data without human intervention more specifically machine learning. It allows the computer program to automatically improve through experience using computer algorithms. We use machine learning in our daily life like Siri, Google Maps, Virtual assistants Translations.
Session 4. Deep learning in AI and ML: Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning is used in all industries for a number of different tasks. Commercial apps that use image recognition, open-source platforms, Virtual assistants, Chatbots and service bots. Deep learning algorithms can automatically translate between languages and these algorithms are also used in medical research tools that explore the possibility of reusing drugs for new ailments. Deep learning allows machines to solve difficult problems even when using a data set that is very diverse, unstructured and inter-connected.
Session 5. Artificial Intelligence in Computer Vision: Computer vision is a part of artificial intelligence that enables a machine to understand the visual world. With the help of computer vision, a computer system can precisely locate and identify images and videos to fetch meaningful information from the real world Artificial intelligence helps computer vision to serve the following purposes.
Session 6. Big Data to AI: Big data is a term that describes the large volume of data. The AI technologies used in big data are: Anomaly Detection: If anomaly detection is not detected in any data base then big data analytics can be used. fault detection, sensor networks can be detected with big data technology. Pattern Recognition: It is a technique of ML used in identifying the patterns in a certain amount of data, with help of training data set the patterns can be identified.
Session 7. Artificial Neural Network: An artificial neural network (ANN) are computing systems and information processing models these are inspired by biological neurons that are designed to simulate the way the human brain analyses and processes information. ANN is the foundation of artificial intelligence (AI) and it solves problems that would prove impossible or difficult by human or statistical standards. Artificial neural networks have self-learning capabilities that enable them to produce better results as more data becomes available.
Session 8. Human-Robot Interaction: Human-Robot Interaction (HRI) is a involving in several disciplines field of study and it mainly focusing on computer technology. HRI is one of the challenging research fields in the intersection of psychology, cognitive science, the social sciences, artificial intelligence, computer science, robotics, and engineering. Generally people's exposure to robots in their daily lives like robotic toys, household appliances like robotic vacuum cleaners or lawn movers.
Session 9. Natural Language Processing: NLP is a branch of artificial intelligence which deals with the interaction between computers and humans using the natural language. NLP makes it possible for the computers to read text, hear speech, interpret the data , measure sentiment and determine which parts are important mostly NLP techniques rely on machine learning to derive meaning from human languages. Tasks that are used in higher-level NLP are Content categorization, Speech-to-text and text-to-speech conversion, Document summarization, Machine translation.
Session 10. Future Scope of AI: Artificial intelligence technology is evolving daily and Business Insider Intelligence keeping its finger on the pulse of how artificial intelligence will shape the future of a variety of industries, such as Internet of Things, transportation and logistics, digital health, and multiple branches.
Session 11. AI and ML in Cloud Computing and Mobile Computing: Cloud computing services have morphed from platforms such as Google App Engine and Azure to Infrastructure which involves the provision of machines for computing and storage. The points in the direction of the growth of Artificial Intelligence and Cloud Computing. About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in the coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS and PaaS to execute and deploy AI-infused cloud results. Cloud Machine Learning Platforms: technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a technology that is held responsible for powering the creation of Machine Learning models. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t allow implementation of AI programs coded in conventional AI.
Session 13. AI and ML in Space Exploration: Countries across the globe have been running on the race to explore space for a century now so the space exploration process is also adopting Artificial Intelligence (AI) and robotics to fast-Session their mission. GPS To navigate space travel efficiently and it will be easy to explore planets.
CIMON – Crew Interactive Mobile Companion is a head shaped robot used in international space station .This AI based device assists the astronauts in the space. CIMON helps in inventory management, documenting experiments, videography, and photography. Cimon acts like a hands free database, computer. SKICAT – Sky Image Cataloguing and Analysis Tool identified what was beyond human capabilities. It classified thousands of objects in low resolution during the second Palomar Sky Survey.
Session 14. AI and Machine Learning in Health Care & Medical Science: AI technologies have high importance to healthcare. To increase the effective pathway in health care and medical science the artificial intelligence is adopted.
Session 15. Industrial Applications of AI: The AI technologies are rapidly increasing in the field of automotive manufacturing industry. The Robots are taking a great participation in automotive manufacturing.
Session 16. AI in Cyber Security: Artificial intelligence techniques are used to detect abnormal activity and identify new types of malware. There are lots of applications used for cyber security purpose.
Session 17. Computational Mathematics: Computational mathematics involves mathematical research in mathematics as well as in areas of science where computation plays a central and essential role, and emphasizes algorithms, numerical methods, and symbolic computations.
Session 18. Artificial Intelligence in Computer Vision: Computer vision is a part of artificial intelligence that enables a machine to understand the visual world. With the help of computer vision, a computer system can precisely locate and identify images and videos to fetch meaningful information from the real world Artificial intelligence helps computer vision to serve the following purposes.
Nover Ricerca & Computer Integrated Manufacturing Systems (Scopus Q-2) jointly organized the 1st ever Artificial Intelligence & Machine Learning Conference during September 18-19, 2023 in Singapore City, Singapore. It aims to order driving scholastic researchers, specialists and exploration researchers to trade and share their encounters and examination results on all parts of Computer Science and Technology. It additionally presents a top-quality interdisciplinary platform for researchers, practitioners and educators to give and speak the latest innovations, trends, and issues additionally as realistic demanding situations encountered and solutions adopted within the fields of Computer Science and Technology.
We work towards creating a common ground for researchers, academicians, scholars, global experts, professionals and students to share their ideas and research in all major scientific disciples including clinical, medical, pharmaceutical, engineering technology, business management and life sciences. We take pride in providing such a platform to exchange ideas and research to benefit the community at large.