During the semester we partner with selected companies to form symbiotic relationships where our talented students work on real industry projects and provide consulting to push AI solutions into new domains.
WORKSHOPS and speaker events
TUM.ai regularly hosts speaker events where our ambitious members as well as interested followers get the chance to learn from professional AI engineers, business specialists and various domain experts.
At the beginning of every semester, we organize an AI Makeathon. In teams of four, participants work on challenges provided by partner companies and develop MVP applications, as well as corresponding business concepts and pitches.
CURRENT INDUSTRY PROJECTS
Industry Project - Presize.ai
Help protect the environment by significantly reducing clothing returns! We aim to create a recommender system for clothing sizes and benchmark it against Presize’s own technology.
Nowadays, many banking institutions are looking to incorporate Big Data and AI approaches into their operating model, facing seemingly insurmountable technical hurdles. Together with BCG Gamma we took a deep-dive into this field and worked on a real-world case from a data science consultant's perspective. Afterwards, we had a nice dinner and an insightful networking session.
The ETH AI Center is the central hub for artificial intelligence for an interdisciplinary coalition of over 100 professors and research groups at ETH Zurich. Alex Ilic, the head of this prestigious institution, held an exclusive info session and provided our members with insights about PhD and Master Thesis opportunities at ETH Zurich.
The TUM.ai Makeathon was a virtual 48-hour challenge where each team submitted a "Business Model Canvas" and an AI based application prototype. The primary goal of the competition was to create the most innovative business idea with a foundational AI application. Workshops and assistance from Industry Experts were also provided!
Together, with an investor from Cherry Ventures, we had an intense deep dive into the basics of startup funding for AI ventures and working in the startup ecosystem. In the session, we learned about the dos and don'ts when approaching VCs, how to create "FOMO" among investors, or how a cap table works.
What is neural search? Why it is important and what it can be used for? In this workshop we were introduced to Jina's open source search framework and got to work on challenges such as finding images similar to an input image with neural search.