Nov 12-13, 2021    Las Vegas, USA
International Conference on

Robotics and Artificial Intelligence


Advanced Applications of Artificial intelligence

Artificial Intelligence (AI) is the machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve specific problems. AI is a combination of Machine Learning techniques and Deep Learning. AI models that are trained using vast volumes of data have the ability to make intelligent decisions.

1. AI in E-Commerce

2. AI in Navigation

3. AI in Robotics

4. AI in Human Resource

5. AI in Healthcare

6. AI in Agriculture

7. AI in Gaming

8. AI in Automobiles

9. AI in Social Media

10. AI in Marketing

11. AI in LAW

Extended Intelligence: AI for the new Economy

Artificial intelligence plays an increasingly important role in our lives and economy and is already having an impact on our world in many different ways. Worldwide competition to reap its benefits is fierce, and global leaders – the US and Asia – have emerged on the scene. AI is seen by many as an engine of productivity and economic growth. It can increase the efficiency with which things are done and vastly improve the decision-making process by analyzing large amounts of data. It can also spawn the creation of new products and services, markets, and industries, thereby boosting consumer demand and generating new revenue streams. However, AI may also have a highly disruptive effect on the economy and society. Some warn that it could lead to the creation of super firms – hubs of wealth and knowledge – that could have detrimental effects on the wider economy. It may also widen the gap between developed and developing countries, and boost the need for workers with certain skills while rendering others redundant; this latter trend could have far-reaching consequences for the labor market. Experts also warn of its potential to increase inequality, push down wages and shrink the tax base. While these concerns remain valid, there is no consensus on whether and to what extent the related risks will materialize. They are not a given, and a carefully designed policy would be able to foster the development of AI while keeping the negative effects in check. The EU has the potential to improve its standing in global competition and direct AI onto a path that benefits its economy and citizens. In order to achieve this, it first needs to agree with a common strategy that would utilize its strengths and enable the pooling of Member States' resources in the most effective way.

How Robot changes our life

Nowadays we are existing in the smart machine era. Robots are playing a wide and dynamic role in our daily life. It feels like the science mechanism is come to be a reality. Robots are gradually coming closer to us as good technology exists to manage the functions of their home. As technology becomes a lot of advancing, it's clear that the world is changing and there's a good possibility that robots will be working in ordinary people's homes within the next decade or so. The main discussion of the session is how robots form into an important partner in our journey and the way they are helping to us to change our life.

Future of Transportation with AI

In the future, AI can be the best technological invention to make positive changes. ... Moreover, AI is already making transportation reliable, safe, clean, and efficient. Considering the positive changes, there will be a reduction in fatalities and accidents, increase the level of service and lessen operational costs

Future Trends in Artificial Intelligence

The focus of AI adoption is restricted to improving the efficiency of operations or the effectiveness of operations. It can be leveraged to improve the stakeholder experience as well. Let us take a look at the top trends expected in 2021.

1. Greater Cloud and AI collaboration
2. AI solutions for IT 
3. AIOps becomes more popular
4. AI will help in structuring data 
5. Artificial intelligence talent will remain tight 
6. Large scale adoption of AI in the IT industry
7. AI Ethics is the focus 
8. Augmented Processes have become increasingly popular
9. Artificial Intelligence will become more explainable 

10. Voice and Language Driven intelligence 


Data Management and Analytics

Data management is the practice of managing data as a valuable resource to unlock its potential for an organization. Managing data effectively requires having a data strategy and reliable methods to access, integrate, cleanse, govern, store and prepare data for analytics.

Application of Artificial Intelligence in COVID-19

The unprecedented pace of efforts to address the COVID-19 pandemic situation is leveraged by big data and artificial intelligence (AI). Various offshoots of AI have been used in several disease outbreaks earlier. AI can play a vital role in the fight against COVID-19.

AI is being successfully used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, diagnosis of COVID-19, disease management by resource allocation, facilitating training, record maintenance, and pattern recognition for studying the disease trend. Several applications of AI that are garnering a lot of interest and raising hopes in the fight against COVID-19 are as follows:
Speakers Interview