BLISS AI Speaker Series 2026

⚠️ IMPORTANT: REGISTRATION MANDATORY ⚠️

Registration on Luma is REQUIRED to attend this event. Link: https://luma.com/q57evozo?utm_source=meetup
Your registration is subject to host approval. You must complete the registration process on lu.ma to receive the full event location details and confirmation of your attendance.
Please note: Without approved registration on Luma, you will NOT be able to access the event location or attend.

We are excited to host a BLISS x dida workshop featuring Elias Trommer from Infineon, who will guide us through an interactive session on Embedded AI.
​​​ Title: Deep Learning Models on 5€ microcontrollers
📅 Date: 29.04.2026
🕕 Time: 18:00
📍 Location: TU Berlin Marchstrasse 23 [Room 0.011]
​​​The session will last around 2 hours, followed by a networking session with dida and fellow AI enthusiasts (and free pizza!🍕). Bring your laptop!

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​Abstract: In this workshop, we will discuss the unique challenges (and solutions) faced when deploying Deep Learning models to embedded microcontrollers. These tiny devices are increasingly capable of running models, even for relatively complex use cases, but come without many of the comforts of a classic computer. When deploying a model to a microcontroller, a much deeper understanding of the physical hardware and good knowledge of the various optimization paths that help reduce the resource consumption of an application is needed. We aim to shed some light on how to deploy models to these cheap, ubiquitous and sometimes surprisingly capable little pieces of hardware.
​In this session, we will cover:

• ​Important differences between a desktop/server and a bare-metal embedded system
• ​Quantization for model compression
• ​Anatomy of an Embedded Application
• ​Embedded ML Inference Engines and how to run them
• ​Deploying a model step by step

​Who is this event for?
This session is targeted at anyone with basic ML knowledge. Experience with C and embedded systems is probably helpful, but not required. We will cover the most important aspects as part of the workshop.

⚡ FINAL REMINDER ⚡
You MUST register and be approved on Luma to attend. The event location will only be visible after your registration is confirmed by the host. Link: https://luma.com/q57evozo?utm_source=meetup

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We are excited to feature Marzieh Fadaee, who is currently Head of Cohere Labs at cohere and will discuss "Scaling LLMs Across Languages", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: Scaling has driven progress in language models, but improvements in peak performance often fail to translate across languages. In this talk, I show how multilingual models expose the limits of scale and highlight the importance of balanced performance. I argue for a shift from optimizing peaks to lifting the floor, through better data, design, and evaluation illustrated through Tiny Aya.

Bio: Marzieh Fadaee is the Head of Cohere Labs, where she leads research on fundamental problems in artificial intelligence. Her work spans multilingual language models, data-efficient learning, model evaluation, and trustworthy AI, with a focus on building systems that are robust, inclusive, and globally impactful. She co-leads the Aya initiative that brought together over 3,000 collaborators worldwide to create the world's largest multilingual instruction dataset and the development of a series of state-of-the-art multilingual language and vision models. Before joining Cohere Labs, Marzieh was the Research Lead at Zeta Alpha Vector, where she pioneered innovative approaches to knowledge discovery and organization. She holds a PhD from the University of Amsterdam where she conducted foundational research on neural machine translation. Her research has been published in top venues such as NeurIPS, ACL, EMNLP, and ICLR, and she frequently serves as a mentor and advisor in the global AI research community.

We are excited to feature Christopher Summerfield, who is currently a Professor at University of Oxford and will discuss "AI and Human Agency", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: TBA

Bio: TBA

We are excited to feature Georgia Channing, who is currently leading the AI for Science team at Hugging Face and will discuss "When Silicon Meets Carbon: Bringing Synthetic Biology to Life", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: TBA

Bio: TBA