AppliedAI

Overview
Join us for an engaging conversation with Dr. Elizabeth M. Adams as she shares insights from her international AI work and explores what it means for Minnesota's technology landscape.

Fresh from a trade mission to Switzerland and Germany with the Governor, Dr. Adams will discuss how global AI developments are reshaping her vision for the Minnesota Responsible AI Institute. She'll share key takeaways from international approaches to AI governance and innovation—and how these insights could position Minnesota as a leader in responsible AI. She'll also share details about her upcoming book launch and the themes she explores in her latest work.

Agenda
6:00pm - 6:30pm: Networking - food & drinks
6:30pm - 8:00pm: Presentation & discussion
8:00pm: Networking at Lake Monster Brewing

Meet Our Featured Speaker
Dr. Elizabeth M. Adams is a Responsible AI leadership advisor, and founder of both the Minnesota Responsible AI Institute and EMA Advisory, where she works with senior leaders and boards around the world on high-stakes decisions at the intersection of artificial intelligence, ethics, leadership, and organizational purpose.

She is the author of the forthcoming book Leading in the Age of Artificial Intelligence: Choosing Purpose Before Code and is known for helping leaders move beyond tools and trends to address deeper questions of stewardship, trust, and human-centered decision-making in an AI-enabled world.

Sponsors
This event is sponsored by Lab651 & Recursive Awesome

A hands-on session led by Abhishek Adile in collaboration with AppliedAI, Nexus, and with the support of Novabiota.

Ever wondered how ChatGPT, Claude, and other AI models actually work under the hood? Join us for an intensive one-day workshop where you’ll build a complete transformer model from scratch—and compete to see whose performs best.

What You’ll Learn
We begin with a fast-paced journey through AI history, from early debates on probability and free will to the breakthroughs that led from statistics to machine learning, neural networks, and finally transformers. You’ll see why attention mechanisms succeeded where earlier approaches fell short.
Then it’s hands-on. You’ll implement every major component of a transformer in Python and PyTorch:

• Tokenization and embeddings
• Self-attention and multi-head attention
• Positional encodings
• Transformer blocks
• Training loops and optimization

Who Should Attend

• Software engineers curious about AI internals
• Data scientists and ML practitioners who want to go beyond APIs
• Anyone who’s used ChatGPT and thought, “How does this actually work?”

Prerequisites: Python experience, a laptop with internet access, and curiosity. Neural network basics help, but aren’t required.

What You’ll Walk Away With

• A clear understanding of transformer architecture
• A working transformer implementation you can extend
• Real intuition for how modern AI models are trained and optimized

Schedule

• Morning (9:00–12:30): From early statistics to transformers, with a deep dive into attention and training
• Lunch provided (12:30–1:30)
• Afternoon (1:30–5:00): Build your transformer, train and tune it, submit results

Agenda
6:00pm - 6:30pm: Networking - food & drinks
6:30pm - 8:00pm: Presentation & discussion
8:00pm: Networking at Lake Monster Brewing

Meet Our Featured Speaker
Jakub Orczyk is a Managing Partner and Board Member at VM.PL Software House. The company delivers AI/ML solutions for manufacturers and other companies, drawing on cross-market experience in the EU (especially the DACH region) and the United States. The company’s experience spans industrial tech (semiconductors), healthcare, financial services, and more, with hands-on, ROI-focused applied AI/ML case studies.

Sponsors
This event is sponsored by Lab651 & Recursive Awesome

This talk explores Co-Intelligence—a term popularized by Ethan Mollick, and extended here into a practical framework for how individuals can think with AI rather than merely use it. Co-Intelligence is not about automation or shortcuts; it is about designing persistent, learning partnerships where human judgment, creativity, and context combine with machine speed, scale, and pattern recognition to produce outcomes neither could achieve alone.

Through real-world examples—from developers and analysts to consultants and knowledge workers—we will examine what changes when AI becomes a collaborator: how workflows evolve, how insight emerges faster, and how capabilities begin to compound rather than reset with each task. We will also address the behavioral shifts required for true collaboration, along with the common failure modes that keep people trapped in tool-mode, including over-reliance, cognitive offloading, and false confidence.

Attendees will leave with a practical Co-Intelligence stack they can apply immediately, including methods for building persistent context, frameworks for cognitive delegation, and ways to measure augmented performance. More importantly, attendees will see how professional value in an AI-driven world increasingly comes from building strong cognitive partnerships with AI—moving beyond simple tool use toward sustained, amplified capability.

Agenda
6:00pm - 6:30pm: Networking - food & drinks
6:30pm - 8:00pm: Presentation & discussion
8:00pm: Networking at Lake Monster Brewing

Meet Our Featured Speaker
Nick Roseth explores how humans and intelligent systems think, create, and evolve together. With more than 25 years of experience at the intersection of business, design, and emerging technology, he has helped startups and Fortune 500 organizations navigate transformation across industries including healthcare, finance, and construction—building everything from early digital platforms to immersive XR experiences and, more recently, Agentic AI and human-machine systems. As the founder of Explore Design, he advises organizations on AI adoption through a distinctly human lens that integrates psychology, behavioral design, and strategic foresight, with a focus on trust, culture, leadership, and decision-making. His work centers on designing adaptive systems where humans and machines co-create rather than compete. Nick is passionate about the tech and entrepreneurship community, a perspective he shares through speaking, writing, and advisory work, including a TEDx talk on technology and workforce transformation and the film DocuMntary.

Sponsors
This event is sponsored by Lab651 & Recursive Awesome