Zied Bahrouni - CEO @Motius
Sebastian Plamauer - Team Lead Hardware Cluster @Motius
FPGAs (Field Programmable Gate Arrays) have been around for a while now, but their relevance has increased lately. Tech companies are investing heavily to use them in new areas. We want to explore how to use FPGAs in different ways and how to implement custom hardware on them using RISC-V for general computing and interfaces.
Sagar Ramachandrappa - Fullstack Developer @Motius
Serverless is a cloud-native development model that allows developers to build and run applications without having to manage servers. This would allow us to work even more efficient in R&D projects.
Katrine Maria Nielsen - Tech Specialist Robotics @Motius
Event Cameras could revolutionize the way we obtain visual information. The technology is based on bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. This offers significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a latency in the order of microseconds. There could be a variety of use cases e.g. ML algorithms for processing, Quantum physics applications (where speed is important), or Robotic Vision/Object Scanning.
Carlos Jimenez Haertel - CTO @Climeworks
Cutting carbon emissions no longer suffices to keep global warming well below the 2° limit agreed in the Paris Climate Accords. Rather, it’s necessary to actively remove CO2 from the atmosphere, up to at least several billion tons annually by 2050. Over the past decade, so-called Direct Air Capture (DAC) methods have come to maturity, which can separate the highly-diluted CO2 from ambient air and store it safely and permanently underground. So far, the development of these technologies has been supported by voluntary carbon removal markets; however, growing DAC to a relevant scale will require putting in place bold climate policies globally. Will we get there in time?
Stuart Heap - Fullstack Developer @Motius
We build an app outlining available beers from our Motius Bar. The app will allow remote access to the bar and the rating of our own Motius beers (MoBier). In doing so, we will discover the most exciting backend technologies promising to replace Python (i.e fastAPI, rocket, diesel).
Daniel Wessel - AI Cluster Lead @Motius
Self-supervised learning is a means for training computers to do tasks without humans providing labeled data. We will discover the latest advancements in this field and develop a blueprint for how to apply this technology in projects related to Computer Vision or NLP.
Sergej Stankeev - UX & UI Designer @Motius
VR & AR becomes more popular and creates endless opportunities for designers and developers. During Discovery we will deepen our experience with the latest 3D advancements in this area and run several tests by creating an AR Tour through our Motius Office.
Robin Dehde - Tech Specialist @Motius
Transformers are model architectures that appeared in 2017 and have gained attention with publications by OpenAI, DeepMind, and Google research. With Transformers it is for example possible to let an Artificial intelligence write code or even text in a natural-sounding way. Originally this came at a cost as Transformer architectures used to be very extensive and not very applicable in most cases. With pre-trained architectures, there is an accessible solution for this problem. During Discovery we want to test possible applications for our projects.
Frederik Zöls - Tech Specialist @Motius
Radar Technology offers a lot of advantages compared to other technologies in privacy-critical applications. We will build a state-of-the-art Radar processing pipeline and eventually provide data to our own Motius IoT System (Motius.io). This would enable a variety of relevant use cases in i.e people counting, crowd control, space observation, or capacity management.
Jan Wasgint - Software Engineer @Motius
Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent perceives and interprets his environment, takes actions, and learns through trial and error. We want to explore how multiple agents could learn to work together. Possible applications could be in Robotics, Autonomous driving, Digital Marketing (i.e content recommendation, personalized Ads), or Smart City (i.e intelligent traffic light systems)
Philipp Diller - Software Engineer @Motius
One big trend we see is decentralized Tech. And the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: 1. Networking and 2. Observability. Envoy is essentially a modern version of a proxy that can be configured through APIs, based on which many different usage scenarios are derived — such as API Gateway, sidecar proxy in service mesh, and edge proxy. This will allow us to scale and monitor large scale distributed systems.
Justin Iszatt - Tech Specialist @Motius
Training environments offer a great and cost-efficient way for prototyping in many different domains. With this project, we aim to create and use such a setup for Machine Learning.
This will help us train our own Reinforcement Learning Agents, create artificial training data for ML applications, and might also be used to plan and simulate robotic applications.
Haven't attended the conference? Check out two live recordings down below or register now for access to all sessions for free. Topics include:
At Motius we are working hard to expand our knowledge on the latest advancements in Natural Language Processing (NLP). We used the hackathon to experiment with pre-trained German language models (provided over Hugging Face by the MDZ Digital Library team at the Bayerische Staatsbibliothek). For this, we built an AI which promised to produce the next hit you'll soon be partying to in the beer tent.
Make the internet great again! Solid Pods are an innovative way to provide more security and data privacy. There are many potential applications, but since the technology is still in its infancy, we experimented with it in the context of tracking health data from a smartwatch.
Register now for our next online and remote Discovery Conference on September 22 and be part of our way to stay close to the newest technologies. We will keep you up-to-date on schedule, topics, live recordings, and speakers.
Discovery is how we innovate, stay close to the newest technologies,
and foster self-development. And you can be a part of it.
Discovery Ideation consists of open workshops where the participants themselves identify exciting topics they want to work on. For that, participants first have to propose topics that have to meet special criteria to enable exploring, discovering and learning.
Discovery Camps are 4-day long Hackathons in which the project teams “do the science”. They research, experiment, write, code, build and develop to push their project forward and follow their goal.
Discovery conference is dedicated to the teams and their projects as they present the outcomes of their work. They explain their technology, share their learnings, and demonstrate what they built. Out of all three parts, this is the biggest event. It is not just open for Motees but also for clients and the public. We stream all presentations live and the recordings will be available afterwards.