ICDSAIR · Registering as Listener

International Conference on Data Science in Artificial Intelligence and Robotics

📅 5–6 Feb 2027 📍 Paris, France 👤 Standard / Listener

Listener registration from

$185

virtual · $185 in person

Registration benefits

✉

Official invitation letterIssued automatically after registration

📜

Certificate & digital materialsCertificate, slides and resource materials

🌐

Supporting global researchConnect with researchers across 30+ countries

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

For Support Please Contact

[email protected]

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

Standard $185 On-site keynotes, talks, workshops, networking, conference kit and certificate. SelectedSelect Virtual $125 Live streaming access to all sessions, digital materials and certificate. SelectedSelect

All sessionsNetworkingCertificateInvitation letterConference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Name:

Email address:

Phone Number

City

State

Country

Zip / Postal code

Address

Coupon code

Have a code? Apply it here — the discount updates the total immediately.

Coupon Code(If Any)

Apply

I agree to the Terms & Conditions and Refund & Cancellation Policy.

VISAMastercardAmexPayPal

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the essential mathematical principles that underpin data science methodologies. Topics include linear algebra, calculus, and statistics as they relate to data analysis and interpretation.

This session will explore various machine learning algorithms and their practical applications in real-world scenarios. Emphasis will be placed on algorithmic efficiency, scalability, and performance metrics.

This track investigates the role of predictive analytics in enhancing robotic systems. Discussions will center on data-driven decision-making processes and their implications for automation and control systems.

This session delves into the architecture and functioning of neural networks and deep learning models. Participants will examine their applications in data science, particularly in image and speech recognition.

This track addresses the technologies and frameworks that facilitate the processing and analysis of big data. Key topics include distributed computing, data storage solutions, and data management strategies.

This session focuses on the methodologies and techniques used in knowledge discovery from large datasets. Participants will explore data mining processes, including clustering, classification, and association rule mining.

This track examines the integration of computational intelligence techniques within artificial intelligence systems. Topics include fuzzy logic, genetic algorithms, and their applications in problem-solving.

This session will explore the intersection of automation technologies and control systems in the field of robotics. Discussions will include system design, feedback mechanisms, and real-time data processing.

This track emphasizes the application of statistical methods in data analysis and interpretation. Participants will discuss hypothesis testing, regression analysis, and statistical modeling techniques.

This session addresses the ethical considerations and governance frameworks surrounding data science practices. Topics include data privacy, algorithmic bias, and responsible AI deployment.

This track highlights the latest trends and innovations in data science as they pertain to robotics. Participants will explore advancements in sensor technology, machine learning applications, and human-robot interaction.