Mindstone Cambridge July AI Meetup
Welcome to the biggest Practical AI Meetup in Cambridge!
Join us once a month as we explore the world of artificial intelligence, its cutting-edge practical applications, and the astonishing projects that are shaping our future.
Why should you attend?
- Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential.
- Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape.
- Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers.
What you can expect?
Mindstone events consist of three talks covering different aspects:
- What I Learned Building With LLMs: A technical talk breaking down the process for building a product using AI with real-life learnings and insights.
- How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks.
- What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society.
After the talks we'll have pizza, drinks, and time to connect with everyone around you.
Don't miss the opportunity to see what's really happening in AI - you'll be surprised at what's already possible today.
We have limited spots available, so get your ticket ahead of time to avoid disappointment!
Agenda
Doors Open
Welcome to the event
Introduction
Welcome and event introduction
AI as Your New Teammate: The Mindset Shift in Software Development by Onuralp Taner
I’s a new mindset where AI agents work as junior developers alongside you. In this talk, you’ll see how AI-native development turns plain descriptions into structured tasks, assigns routine work to agents like Devin.ai, and uses advanced copilots to build complex features. Through real examples and a live demo, you’ll learn how to reduce delivery time, improve quality, and create a culture where humans and AI build software together.
View recordingSimulating Interactive User Behaviour via Reinforcement Learning by Florian Fischer
Automated user testing offers great potential for developing interfaces and intelligent systems, as it enables us to gain initial insights into user behaviour early in the design process. Biomechanical simulations of the human body and visuomotor control systems are particularly promising, as they provide information about the users' physiological state. In this talk, I will demonstrate how musculoskeletal models can be trained using reinforcement learning to simulate, predict and understand the interactive behaviour of real users. I will also present User-in-the-Box: a modular simulation framework for evaluating and benchmarking interface designs and interaction techniques prior to prototype testing. The resulting 'simulated users' allow us to assess the impact of design choices on performance, strategies, and ergonomic factors such as physiological fatigue. I will conclude with a discussion of the untapped potential of biomechanical user simulations for VR/AR, rehabilitation, assistive technology, and inclusive design.
View recordingBuilding with AI agents and Converstaional AI by Umair Ismati
I will be demoing and introducing "Polititube" and I will speak about building with Conversational AI, experience with Ellevenlabs and building useful coversational Agent
View recordingWrap Up
Closing remarks and next steps
Pizza, Drinks & Networking
Casual networking with food and drinks
Speakers
Attendees
Details
Location