Ki-Update Deep-Dive: How AI Grid AI designs the future of research

Networking and exchange as the key to success

Artificial Intelligence (AI) rapidly changes economy, science and everyday life. But who is running innovations in Europe? An important role plays networking of young talents. An initiative funded by AI-Grid’s project manager Laor Purseson, Federal Education and Research (BMBF) provides insight into network work in the current episode of podcast.

Bring 2022 AI-grid AI students and doctoral students committed with experienced experts from research and industry. The objective is to pave the way for young researchers and develop their ideas. This focus on young talents also distinguishes the project from other platforms. “In Germany we are actually the only network for young researchers, namely for master students and doctoral students who deal with the subject of AI,” Porson explains.

A digital community platform for network exchange offers a network opportunity with mentors and various events a year. AI-Grid does not give scholarship prize, but for all members to facilitate participation, for example, takes the expenses of traveling for events. This focus on exchange and practical support produces considerable additional values ​​for young researchers at the beginning of its career.

From mentoring to hackathon: bring ideas into practice

A core of AI-grid is a flexible mentoring program. Universities and economy experienced personality are in favor of young talents. The placement is in the form of an organized meetings through the platform or through the online knowledge or speed dating format, which operates targeted matchmaking. Practical career tips have mental benefits, it is for an academic career or to switch to the industry. “This practical experience of feedback and mentors is very valuable,” emphasizes the Porsion.

Formats such as hackathon also show that it is an exchange fruit. In an event on Rügen, teams developed several prototypes for AI applications within a few days, such as a chat bot or a equipment-concrete example for the visualization of a green space for durable tourism.

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Too AI Research Bandwidth Is impressive. Ethical questions from robotics to computer vision. Porson stressed: “There are many exciting subjects, such as how to teach a robot to understand and imitates emotional intelligence and human expressions or feelings.” This diversity brings researchers together with different backgrounds and promotes interdisciplinary approaches.

Strengthening the role of Europe: potential and responsibility

Despite the global AI development, which often dominates in American companies, Poorson Europe looks well: “I believe we are still very advanced in Europe. We still have many opportunities, we still have a lot of ability, we still have excellent talent and this is what we promote in AI-grid.” Initiatives like the European AI Act have been given positive status by him. This is not about braking innovation, but “about the implementation of AI, (…) so that we develop a moral, fair, transparent AI in Europe that corresponds to our values.” The development of reliable and clear AI is important for social acceptance.

Polyson is particularly important for promoting women in AI. Currently with 27 percent of the researchers in the network, she sees the immediate need for action: “We need a lot of young researchers and we also need more patron as they definitely play a role as a role model.” Diversity is necessary so that the AI ​​solution represents the whole society. Therefore AI-Grid offers a target proposal for women. The network, whose financing, is secured by BMBF by 2027, invites students and doctoral students to be part of this initiative in German institutions with AI reference and computer science knowledge.

(IGR)