R&D Talk #29 Modern Web AI: From Stack to Scale (подія в архіві)

What happens when AI runs where users already are — directly in the browser?
This session explores the rise of Web AI with a Google engineer who helped bring AI tools to millions of developers worldwide. We’ll look past the hype and focus on how today’s Web AI stacks make intelligent, user-centric experiences practical and scalable.

What you will learn:

• The current Web AI landscape and why it’s finally ready for prime time

• How MediaPipe enables real-time AI experiences directly in the browser

• What LiteRT and modern inference stacks mean for performance and scalability

• Real use cases where Web AI is already delivering measurable value

Speakers:
Damyr Hadiiev, Principal R&D Engineer at SoftServe, leads high-impact R&D teams building scientific applications in AI, life sciences, computer vision, quantum computing, and physical simulations. With a theoretical physics background and 10+ years across research, engineering, and enterprise consulting, he focuses on turning deep technical insights into scalable, real-world solutions.

Jason Mayes, Web AI Lead and Creative Technologist at Google, with 20+ years of engineering experience, works at the intersection of AI, the Web, research, and storytelling. Creator of world-first AI prototypes adopted by millions and work that grew into products like Cloud AutoML Vision.Coined “Web AI” in 2022, promoting privacy-preserving real-time AI in JavaScript (1B+ annual downloads).

📅 March 25, 5:00 PM EET
📍 Оnline
🗣 Language: English

Register hubs.ly/Q043Y6kJ0

R&D Talk is an online meet-up with SoftServe R&D specialists sharing their insights about the latest technologies and innovative trends.

💡 Усі статті, обговорення, новини про AI — в одному місці. Приєднуйтесь до AI спільноти!