Theme: The key to artificial intelligence has always been the representation

AI and Robotics 2023

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

Top Reasons to attend:

  1. 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.
  2. The AI Club is a technical society with the goal of spreading awareness and knowledge on topics like machine learning, deep learning and robotics
  3. It’s the unique opportunity to discuss issues of importance and relevance to advancingArtificial Intelligence, Machine Learning  through professional development.
  4. AI augments human intelligence with rich analytics and pattern prediction capabilities to improve the quality, effectiveness, and creativity
  5. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.
  6. Attending AI conferences and events allows you to learn about relevant AI advancements and achievements in AI that would otherwise take you too long and a lot of effort to research and learn
  7. AI conferences and events provide an opportunity for you to meet your role models in person. Such platforms allow you to interact with them and even learn from them if they are in the lineup of keynote speakers. That can help boost your interest in AI, allowing you to achieve your goals faster.

 

 
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
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", however, this definition is rejected by major AI researchers
 
 
Automation describes a wide range of technologies that reduce human intervention in processes. Human intervention is reduced by predetermining decision criteria, subprocess relationships, and related actions — and embodying those predeterminations in machines. Automation includes the use of various equipment and control systems such as machinery, processes in factories, boilers, heat-treating ovens, switching on telephone networks, steering, and stabilization of ships, aircraft, and other applications and vehicles with reduced human intervention.
Automation covers applications ranging from a household thermostat controlling a boiler to a large industrial control system with tens of thousands of input measurements and output control signals. Automation has also found space in the banking sector. In control complexity, it can range from simple on-off control to multi-variable high-level algorithms.
 
 
As in healthcare, the future of robotics in agriculture could make labor shortages and worker fatigue feel less acute, but there’s another big potential advantage: sustainability. With each plant analyzed with robotics and AI, less water is wasted and farms produce less waste. The idea is that the AI will continue to learn from the data, improving yield for future harvests, too. Another example of robots used in agriculture is, the Agrobot E-Series, which can not only harvest strawberries with its 24 robotic arms but uses its artificial intelligence to assess the ripeness of each fruit harvested.
 
 
Robotics and artificial intelligence are two related but entirely different fields. Robotics involves the creation of robots to perform tasks without further intervention, while AI is how systems emulate the human mind to make decisions and ‘learn.’While you can have robotics with an AI element (and vice versa), both can, and usually do, exist independently of each other. For most robots, designed to perform simple, repetitive tasks, there’s no need for advanced AI as the duties are simple, predictable, and pre-programmed. But many such AI-free robotics systems were created with past limitations of artificial intelligence in mind, and as the technology continues to advance in leaps and bounds each year, robotics manufacturers may feel increasingly confident in pushing the limits of what can be achieved by marrying the two disciplines.
 
The cited examples of AI in manufacturing, aerospace, healthcare, and agriculture highlighted above can certainly leave us feeling confident that the future is bright for robotics and artificial intelligence. The next big innovation may feel like science fiction today, but eminently possible tomorrow.
 

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.

Cyber Security: Threat &Road Ahead:

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.

AI in Electric Cars:

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 Learning:

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

Knowledge-Based Systems:

A Knowledge-Based System is a laptop software that makes use of Artificial Intelligence to remedy troubles inside a specialized sphere that includes human expertise. Knowledge-primarily based totally structures had been preliminary evolved with the aid of using Artificial Intelligence researchers. This preliminary knowledge is primarily based totally structures that had been particularly professional structures. The maximum current development of knowledge-primarily based totally structures has been to undertake the technology for the improvement of structures that use the internet. This consultation will assist researchers to apprehend a way to use a Knowledge-Based System as a diagnostic tool.
 
Intelligent Automation:

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.
 
 
Robotics can be a subject that offers growing humanoid machines for you to behave like people and carry out a few movements like citizenry. Now, robots can act like people in corporate situations, however, can they suppose like people as well? That is frequently wherein AI comes in! AI permits robots to behave intelligently in corporate situations. These robots may also be prepared to resolve issues for the duration of a restricted sphere or perhaps study in managed environments. An instance of that is frequently Kismet, which can be a social interplay robotic evolved at M.I.T`s AI Lab. It acknowledges the bodily frame language and our voice and interacts with people accordingly. Another instance is the Robonaut, which changed into evolved via way of means of NASA to discern the astronauts in space.
 
 
Evolutionary Robotics is a computer-simulated approach to making Intelligent and Autonomous Robots. The preliminary concept of encoding a robotic manage gadget right into a genome and feature synthetic evolution dates returned to the overdue 80s. Evolutionary computation may be used to lay out the bodily shape of the robotic. Neural Network is the maximum not unusual place kind of controller utilized in evolutionary robotics. This consultation is designed to recognize and speak a way to create a beneficial controller to finish many robot tasks.
 
 
Just like all individual robots also is the assimilation of many parts. All robotics include a few Mechanical, Electrical Components in conjunction with a few laptop programming. As increasingly robots are designed for unique duties additives also are designed likewise. Robots may be created in lots of ways, the use of all way of materials, however, maximum robots percentage a first-rate deal in common. This consultation will assist quite a few researchers, and college students to investigate the system of the introduction of robotics and what is the destiny fashion in this area.
 
 
Professionals are unanimous in predicting that long-time period sustainability of healthcare structures can be met through automation pushed through virtual fitness technologies, including synthetic intelligence, 3D printing, or robotics. Robots can support, help, and amplify the carrier medical examiners are offering. This consultation will spotlight the position of that Robotic Technology in our fitness care device and the problems springing up out of it.
 
 
Besides Earth, the handiest different planet that human beings have set foot on is the Moon. However, Robotic Explorers have touched the Moon, Mars, Venus, and Jupiter, in addition to some comets and asteroids. In the distance society, any unmanned spacecraft may be defined as robot spacecraft. For Space Robots, a huge gain is they want neither meal nor drink for survival and might feature in very inhospitable conditions. This segment will discover the Robotic Journey in area and could spotlight how they emerge as an assisting hand in area exploration.
 
 
Today, robots are used in all industries to increase productivity and work efficiency. The main areas where robots are now playing an important role are aerospace, agriculture, industrial, agricultural products, automotive, construction, energy, etc. Robotics has opened up a lot of opportunities for entrepreneurs and students. This session will highlight the use of robots in different industries and how they help improve quality.
 
Robots: Unsolved Questions:

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.
 
Importance of Modelling and Simulation in The Internet of Things(IoT):
The Internet of Things (IoT) refers to the networking of objects with universal intelligence, or simply “smart objects”. Several attempts have been made over the past decade to bring standard modeling languages closer to common simulation frameworks. Modeling allows aspects to be described at a higher level of abstraction independent of the target platform, and simulation helps to simulate that description in large-scale scenarios. This session will help you learn more about the importance of modeling and simulation in the Internet of Things.
 
 
Technology`s capacity to create extraordinary matters within destiny stretches from fiction to fact: self-using cars, digital reality, and clever gadgets. The programs for net-linked gadgets are widespread. A developing wide variety of Internet of Things (IoT) gadgets is designed for human use. Starting from agriculture to protection and space, it's far affecting our lives in lots of ways. This consultation will speak about how the IoT has been now an inseparable part of our way of life and the problems and technology associated with it.
 
 
We at the moment are dwelling inside the clever system era. Robots are gambling an in-depth and essential function in our ordinary life. It seems like technological know-how fiction is beginning to emerge as a reality. Starting from domestic to a place of business they're now in each sector. Robots are more and more coming toward us as the clever generation lets human beings manipulate the features in their domestic. As generation turns into greater forward-thinking, it`s clear that the arena is converting and there may be an amazing opportunity that robots can be functioning in everyday human beings’ houses within the subsequent decade or so. The major dialogue factor of the consultation can be how robots develop into a vital accomplices in our adventure and the way they're assisting us to simplify our life.
 
The technique of globalization has become the complete international right into an international village wherein everyone is interconnected and interdependent. To a massive extent, the improvement of the earth will now no longer be feasible without the Internet of Things. The emergence of IoT technology introduced new wishes and promised a higher future. The interconnection between the Internet of Things and globalization can be the focal point of the session.

 

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. 

Asia Pacific Artificial Intelligence Market size, by solution, 2020 - 2030 (USD Billion)

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.

 

 

 

Conference Highlights

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Conference Date August 30-31, 2023
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