International Congress on AI and Machine Learning August 02-03, 2021 Zurich, Switzerland

Track 01: 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

Track 02: 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.

Track 03: 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.

Track 04: 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.

Track 05: 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

Track 06: 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.

Track 08: Robots

When most people hear the term artificial intelligence, the first thing they usually think of robots. A robot is a mechanical device that is capable of performing a variety of tasks on command or according to instructions programmed in advance so a robot perform a task easily and with greater accuracy Some everyday examples of robots are

• Automatic teller machines (ATMs)

• Remote control cars and trucks

• Vending machines

Track 09: 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.

Track 10: Types of Artificial Intelligence Learning Models

Learning is the fundamental building blocks of artificial intelligence it helps in improving the knowledge of Artificial intelligence programming.AI learning processes focused mainly on processing of a collection of input-output pairs for a specific function and predicts the outputs for new inputs. The learning models used in AI and ML are

• Reinforcement Learning

• Supervised Learning

• Semi-supervised Learning

• Unsupervised Learning

Track 11: 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

• Self-driving cars

• Facial recognition

• AR and mixed reality

Track 12: 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.

Track 13: Data Science Algorithms

Artificial intelligence and machine learning algorithms are designed to make decisions, often using real-time data these are the algorithms used in AI and ML.

• K Nearest Neighbours

• Linear Regression

• Logistic Regression

• Support Vector Machine

• K Means

• Decision Tree

• Principal Component Analysis

• Apriori

Track 14: Automation, Tools and frameworks in AI and ML

Developing the AI and ML application is long and it requires lot of through behind the implement of an application so we have the Tools and frameworks that are available for the developers and data scientists. They are:

• TestCraft

• Applitools

• Functionize

• Testim

• Mabl

• Sealights

• ReTest

• Tensorflow

• Caffe

• Auto ML

• Open NN

• MXNet

• Google ML Kit

• H20: Open Source AI Platform

• CNTK

Track 15: Real World Artificial Intelligence Applications

Artificial intelligence and its applications are endless and are applied in all disciplinary.

• AI In Banking

• AI In Finance

• AI In Agriculture

• AI In HealthCare

• AI In Gaming

• AI In Space Exploration

• AI In Autonomous Vehicles

• AI In Artificial Creativity

Track 16: 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-track 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.

Track 17: AI and ML in E-Commerce

E-Commerce businesses around the world are using artificial intelligence to advance the trends and also to providing the features for interactive buying experiences. Most of the E-Commerce websites are using AI features like image search, Virtual Fitting Rooms, advertising automation for Sellers, Chatbots. Artificial Intelligence will continue to assist the e-commerce businesses in the areas of the

• Customer experience

• Website and app optimization

• Fraud detection

Track 18: 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. AI is used as

• Physical robots for surgery assistance

• Drug discovery with aid AI/ML techniques

• Identifying rare or difficult to diagnose diseases

• Radiotherapy

Track 19: 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.

• Robots are used in Mechanical Cutting, Grinding, Debarring and Polishing.

• Robots Assemble the smaller components pumps and performing tasks like windshield installation.

• Robots do Painting for highly toxic paints that the Professional painters are difficult to do.

• Robots do welding cars it is very necessary for the automotive sector.

Track 20: 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 like

• Security screening

• AI-powered threat detection

• Detection of sophisticated cyber-attacks

• Security & crime prevention

Track 21: Benefits of AI and ML

Artificial intelligence can help in reduce human error, to create more precise analytics, and turn data collecting devices into powerful diagnostic tools. One example of this is wearable devices such as smart watches and fitness trackers, which put data in the hands of consumers to empower them to play a more active role managing their health. Learn more about how tech start-ups are using AI to transform industries like digital health and transportation.

Track 22: 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 like

• AI in Science and Research

• AI in Cyber Security

• AI in Data Analysis

• AI in Transport

• AI in Home

• AI in Healthcare

Artificial Intelligence is a technology that will have a much wider impact on market research in the years to come. Artificial intelligence (AI) robots market is expected to reach USD 12.36 Billion by 2023, at a CAGR of 28.78% during the forecast period. On the basis of technologies, the artificial intelligence market has been segmented into machine learning (ML), natural language processing (NLP), context-aware computing, and computer vision. Machine Learning Technology of Artificial Intelligence (AI) Robots Market will be the leading segment of the overall market. The artificial intelligence market is expected to reach USD 190.61 billion by 2025, at a CAGR of 36.62%. The market growth is mainly driven by factors such as the increasing adoption of cloud-based applications and services, growing big data, and increasing demand for intelligent virtual assistants.

Advantages of Participating at our conference

• The advantages of the Speaker and abstract pages are created in Google on your profile under your name would get worldwide visibility.
• Our comprehensive online advertising attracts 30000+ users and 50000+ views to our Library of Abstracts, which takes researchers and speakers to our conference.
• Meet with hundreds of like-minded experts who are pioneers in AI and Machine Learning and share ideas.
• All participants in the conference would have a different reason to participate with eminent speakers and renowned keynote speakers in one-to-one meetings.
• A rare opportunity to listen what the world's experts are learning about from the world's most influential researchers in the area of  AI and Machine Learning at our Keynote sessions.
• Dental Health intensive Conference schedule, you will acquire experience and expertise in strategic gift preparation that is worth its weight golf, forming an impressive array of recognised professionals.
• Best Poster Award nominations.
• Award for Outstanding Young Researcher.
• Group Registration Advantages.

Benefits of Participation for Speaker

• Worldwide appreciation of the profile of Researchers.
• Obtain credits for professional growth.
• Explore the latest of cutting edge analysis.
• Make long-term bonds at social and networking activities.
• An ability to advertise one page in the distribution of abstract books and flyers that ultimately gets 1 million views and adds great value to your research profile.
• Learn a transition beyond your area of interest to learn more about new subjects and studies away from your core subject of AI and Machine Learning.
• We have distinctive networking, learning and enjoyable integration into a single package.

Benefits of Participation for Delegate

• Professional Development-Improve understanding and knowledge.
• Attendance at conference supports rejuvenates and energises delegates.
• Your involvement in our webinar will help with a new methodology and ideology that can be used to broaden the outcomes of businesses or industries.
• Opportunities for AI and Machine Learning Summit researchers and experts in the same field to meet and exchange new ideas through a congress.

Benefit of Participation for Sponsor

• Exposure to the International Congress on AI and Machine Learning would increase the possibility of new companies.
• Opportunity to demonstrate your company's latest technologies, new products, or service your business to a wide range of international participants.
• Increase business by our conference participants through lead generation.
• It takes a lot of time, effort and drive to create a successful company, so it's always nice to have a network of colleagues and associates to draw energy from individuals who share a common drive and objective.
• Conference on AI and Machine Learning in provide opportunities for more attention and contemplation that could help you move your company to the next stage.
• Benchmarking main organization plans and moving it forward.
• Get feedback from trustworthy people at our conference to your company questions and challenges.
• On our webinar banner, website and other proceedings, branding and marketing content, the advertising logo of your company.

Benefit of Association for Collaborators

• Nobody has these massive visitors to AI and Machine Learning in the world; this is the best forum to highlight society.
• Creating long-lasting peer relationships.
• In our conference banner, website and other proceedings, branding and marketing material, promotional content and your Organization logo will increase your number of subscribers/members by 40%.
• The exposure of our event to your Company listing in the Global Business forum will have a great effect on your association.
• Your representatives can network to update their knowledge and understanding of your organisation and services with key webinar delegates.