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Niklas Kokkola, PhD

AI @ PlantingSpace | Helsinki

Niklas Kokkola, PhD is an AI developer currently working at PlantingSpace.1 Prior to his current role, he held a position as a Senior Data Scientist, indicating his expertise in the field of data science and artificial intelligence.1

Education and Background

Niklas Kokkola holds a PhD, although the specific field of study is not mentioned in the available information. He received his education from City University London1, which suggests a strong academic foundation in his area of expertise.

Professional Experience

Current Role:: Niklas is currently employed as an AI developer at PlantingSpace.1 This position likely involves working on cutting-edge artificial intelligence projects and applications.

Previous Experience:: Before joining PlantingSpace, Niklas worked as a Senior Data Scientist.1 This background in data science complements his current role in AI development, as the two fields are closely related and often intersect in practical applications.

Online Presence

Niklas maintains a professional presence on LinkedIn, where he occasionally shares content related to his field. For instance, on December 10, 2020, he posted images on the platform, possibly related to his work or interests in AI and data science.2

While the available information doesn't provide extensive details about Niklas Kokkola's specific projects or achievements, his professional trajectory from Senior Data Scientist to AI Developer, combined with his PhD and education from City University London, suggests that he is a skilled professional in the fields of artificial intelligence and data science.

Highlights

Jul 11 · linkedin

Thank you to my fantastic colleagues at Gesund, together we have prototyped a number of innovative projects around social impact and AI. I will miss our deep discussions, hacking sessions, and shared values. The winds of change are however pulling me to a new adventure!

I’m happy to share that I’m starting a new position as AI Developer at PlantingSpace! PlantingSpace is "building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving."

May 6 · linkedin

Exciting new ML advancement! 📢

TL;DR - allow artificial neurons to communicate as flexibly as real neurons to unlock new powers!

read more here: https://lnkd.in/d4sYCQwg

Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs).

🕸️

While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). KANs have no linear weights at all -- every weight parameter is replaced by a univariate function parametrized as a spline.

📈

We show that this seemingly simple change makes KANs outperform MLPs in terms of accuracy and interpretability. For accuracy, much smaller KANs can achieve comparable or better accuracy than much larger MLPs in data fitting and PDE solving.

🎯

Theoretically and empirically, KANs possess faster neural scaling laws than MLPs. For interpretability, KANs can be intuitively visualized and can easily interact with human users.

💪🏻

Through two examples in mathematics and physics, KANs are shown to be useful collaborators helping scientists (re)discover mathematical and physical laws.

⚛️

In summary, KANs are promising alternatives for MLPs, opening opportunities for further improving today's deep learning models which rely heavily on MLPs.

Related Questions

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Niklas Kokkola, PhD
Niklas Kokkola, PhD, photo 1
Niklas Kokkola, PhD, photo 2
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