Robotics and Artificial Intelligence
Robotics And Artificial Intelligence
Robotics is an interdisciplinary field that integrates computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Robotics integrates fields engineering and technology.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals. Leading AI textbooks define the field as the study of "intelligent agents" Some popular accounts use the term "artificial intelligence" to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Big Data Analysis
Big Data Analysis
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.
Micro Electro Mechanical Systems (MEMS) and Micro Robotics
Micro Electro Mechanical Systems (MEMS) and Micro Robotics
Microelctromechanical systems also written as micro-electro-mechanical systems (or microelectronic and microelectromechanical systems) and the related micromechatronics and microsystems constitute the technology of microscopic devices, particularly those with moving parts. They merge at the nanoscale into nanoelectromechanical systems (NEMS) and nanotechnology. MEMS are also referred to as micromachines in Japan and microsystem technology (MST) in Europe.
Robotics Mechatronics, Intelligent robots, and smart machines
Robotics Mechatronics, Intelligent robots, and smart machines
Mechatronics also called mechatronics engineering, is an interdisciplinary branch of mechanical engineering that focuses on the integration of mechanical, electronic, and electrical engineering systems, and also includes a combination of robotics, electronics, computer, telecommunications, systems, control, and product engineering
Intelligent robots and smart machines:
Intelligent Robots and Smart Machines: Innovations and Applications:
Explore the latest advancements in intelligent robots and smart machines, focusing on their applications across various industries, from healthcare to manufacturing. This session highlights cutting-edge technologies, AI integration, and the future impact of smart automation.
Data Science and Deep Learning
Data Science and Deep Learning
In a nutshell, data science represents the entire process of finding meaning in data. Machine learning algorithms are often used to assist in this search because they are capable of learning from data. Deep learning is a sub-field of machine learning but has improved capabilities.
Intelligent Autonomous Systems and Robotics
Intelligent Autonomous Systems and Robotics
An autonomous robot, also known as simply an auto robot or autobot, is a robot that performs behaviors or tasks with a high degree of autonomy (without external influence). Autonomous robotics is usually considered to be a subfield of artificial intelligence, robotics, and information engineering. Autonomous robots are particularly desirable in fields such as spaceflight, household maintenance (such as cleaning), waste water treatment, and delivering goods and services.
Industrial Applications of Robotics
Industrial Applications of Robotics
An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes. Typical applications of robots include welding, painting, assembly, disassembly, pick and place for printed circuit boards, packaging and labeling, palletizing, product inspection, and testing; all accomplished with high endurance, speed, and precision. They can assist in material handling.
Block chain and Machine learning
Block chain and Machine learning
Block chain and Machine Learning (ML) have been making a lot of noise over the last couple of years, but not so much together. As a distributed ledger, block chain can manage almost any type of transaction in existence. This is the primary reason behind its rapidly growing popularity and power. The block chain is designed specifically to accelerate and simplify the process of how transactions are recorded. This means that any type of asset can be transparently transacted using this completely decentralized system. The key difference here is the fact that there’s no involvement from intermediaries like the government, banks, or even technology companies. Instead, it’s a massive collaboration with some great code which significantly reduces settlement and clearing times to a matter of seconds.
Ethics of Artificial Intelligence
The ethics of artificial intelligence is part of the ethics of technology precise to robots and other artificially intelligent existences present. The ability of Autonomous Systems to make decisions for themselves, with little to no input from humans greatly increases the utility of robots and similar devices. However, due to this autonomous function, some experts and academics have questioned the use of AI in various jobs. This session aims to provide an agenda inside which researchers can expect the current and future ethical issues and which is concerned with the right and wrong regarded as ethical behavior.
Future Scope of AI
The future Artificial Intelligence (AI) has the possibility to change the world. While from the time when the Turing Analysis was introduced, computers have become so smart. Artificial Intelligence is quickly turning into major economic energy. Definitely, it will be an essential part of human life in the future. However, an important question remains is that what will occur if the review of robust Artificial Intelligence be successful and an Artificial Intelligence system comes to be better than humans. We have confidence in this session will help us to discuss, improve and avoid such possible outcomes in the future.