Theme: The key to artificial intelligence has always been the representation
AI and Robotics 2023
AI AND ROBOTICS 2023 Invites all the Experts and Researchers from the Artificial Intelligence, Machine Learning and Robotics engineering sector people all over the world to attend “6th International Conference on Artificial Intelligence, Machine Learning and Robotics” which is going to be held on August 30-31, 2023 Amsterdam, Netherlands
Machine learning algorithms are useful for collecting, analyzing, and integrating data for large organizations. They can be implemented in all elements of big data operation, including data labeling and segmentation, data analytics, and scenario simulation.
That's where machine learning can help them. Data is a boon for machine learning systems. The more data a system receives, the more it learns to function better for businesses. Hence, using machine learning for big data analytics happens to be a logical step for companies to maximize the potential of big data adoption.
Artificial Intelligence, Machine Learning, and Robotics is the rearmost trending technology in numerous fields, particularly in diligence like Manufacturing, Computerization, Control Systems, Healthcare, Energy, Transport, Defence, Space, Data Mining, etc. AI AND ROBOTICS 2023 will be a collective platform to gain knowledge and partake in new ideas amongst technologists, Professionals, Industrialists, Experimenters, Originators, and scholars from the exploration area of Artificial Intelligence, Robotics, and Machine Learning. Experts will partake in their exploration gests and engage in numerous interactive conversations at the event.
Theme: The key to artificial intelligence has always been the representation
- Attending an AI conference is a viable option to learn about on emerging technologies, explore the networking opportunities, and delve into recent trends within the Artificial Intelligence community.
- The AI Club is a technical society with the goal of spreading awareness and knowledge on topics like machine learning, deep learning and robotics
- It’s the unique opportunity to discuss issues of importance and relevance to advancingArtificial Intelligence, Machine Learning through professional development.
Robotics and remote technology could transform one of the world’s most labor-intensive and potentially dangerous industries. The mining sector is notoriously hazardous due to the nature of the sector, however the introduction of robots, drones, driverless trucks and pilotless trains could transform mine safety. A technology boom could also allow for the development of mines in regions once thought too precarious or remote to exploit. Rio Tinto is not the only mining powerhouse about to utelise drones and remote technology on site. BHP Billiton and Anglo American are also ramping up efforts to automate, believing that new equipment will cut costs and improve returns, while allowing them to exploit deposits so far considered too complex or too dangerous for humans.
The global is changing, and with it so is the Cyber Threat. At one hand extra connectivity allows to offer new commercial enterprise and social possibilities however concurrently needs for greater responsibility. The subsequent technology conflict can be fought via way of means of sitting in the front of laptop screens. As the threat is higher, call for certified experts is likewise high. This consultation approximately the Cyber Security, Cyber Threat, its demanding situations and destiny can be beneficial for each player to speak about approximately demanding situations of Cyber Security and what may be the feasible answer for a non-violent planet.
Tesla being a tech innovator has evolved a main call with inside the global of electrical vehicles. The utilization of the contemporary-day synthetic intelligence technology likes autopilot in automobiles has created hobby amongst passionate car enthusiasts. Tesla has made use of the consumer datasets for statistics analytics to assume and collect statistics approximately patron necessities and used it to enhance the capabilities of its vehicles. Tesla is the usage of AI Technology in incorporated chips, Autopilot, Design of AI chip.
Machine Literacy entails the usage of Artificial Intelligence to permit machines to examine a assignment from revel in without programming them precisely approximately that assignment. (In short, Machines examine mechanically without mortal hand holding!!!) This method begins off evolved with feeding them proper nice records and additionally schooling the machines through erecting colourful gadget literacy fashions the usage of the records and in contrast to algorithms. The preference of algorithms relies upon on what kind of records do we`ve and what type of assignment we are seeking to automate.
Still, normally speaking, Machine Learning Algorithms are divided into three types
Supervised Machine Learning Algorithms
Unsupervised Machine Learning Algorithms
Underpinning Machine Learning Algorithms
Intelligent Automation may be utilized in enterprises to beautify productiveness and efficiency, lessen operational risks, and enhance patron experiences. This performs a crucial function in any enterprise`s next-technology innovation. In Intelligence Automation, we use a software program or hardware which has the capacity to carry out matters automatically. This consultation facilitates research on the big integration of Automation and Artificial Intelligence and the way its miles assist human lives.
Now, robots can reach everywhere, from our homes to our workplaces. However, advances in robotics technology have raised ethical issues concerning both humans and machines. While the problems are as old as those from robots, with the increasing deployment of machines, ethical concerns have grown. This session will attempt to address questions that remain unanswered.
The global artificial intelligence market size was valued at USD 136.55 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. The continuous research and innovation directed by tech giants are driving the adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing. For instance, in November 2020, Intel Corporation acquired Cnvrg.io, an Israeli company that develops and operates a platform for data scientists to build and run machine learning models, to boost its artificial intelligence business.
The essential fact accelerating the rate of innovation in AI is accessibility to historical datasets. Since data storage and recovery have become more economical, healthcare institutions and government agencies build unstructured data accessible to the research domain. Researchers are getting access to rich datasets, from historic rain trends to clinical imaging. The next-generation computing architectures, with access to rich datasets, are encouraging information scientists and researchers to innovate faster.
The artificial intelligence industry has been a software player so far, and very few companies manufacture hardware components such as CPU, ASIC, FPGA, and GPU. Recent trends in design tools have made FPGAs compatible with complex software practices and accessible to those who organize and build algorithm models. Hardware-based artificial intelligence solutions are being introduced to combat challenges associated with power consumption, sluggish processing, and lack of efficiency. Furthermore, as the market is maturing, there is an increasing need for creating a new business model through predictive, efficient automation and scalable parallel processing capabilities.
The need for hardware-based artificial intelligence products was recognized as end-use applications demanded lower power and higher performance. Over the past few years, very few companies ventured into the development of these components. However, to gain a competitive advantage, vendors such as IBM Corporation and Intel Corporation have started manufacturing artificial intelligence chipsets to obtain high performance in scaling dynamic processes parallelly.
- Quest for Artificial Intelligence: Dreams and Dreamers
- Knowledge-Based Systems
- Natural Language Processing
- Big Data Analysis
- Modern Artificial Intelligence
- Intelligent Automation
- Ethics OF Artificial Intelligence
- The Coming Future of AI
- Landmarks in The Development of Robotics
- Evolutionary Robotics
- Components of Robot
- How Robots Changing Our Life
- Robots: Saving Our Life
- Robots: Reaching Space
- Robots: A Helping Hand
- Robots in Industry
- Robots: Unsolved Questions
- IoT- Simplifying our Life
- Importance of Modelling and Simulation in the Internet of Things (IoT)
- IoT and Globalisation
To share your views and research, please click here to register for the Conference.
All accepted abstracts will be published in respective Our International Journals.
- Journal of Computer Science & Systems Biology
- American Journal of Computer Science and Engineering Survey
- Advances in Robotics & Automation
Abstracts will be provided with Digital Object Identifier by