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HIDA Office Berlin

Lecture Series:

Security aspects in the Internet of Things – think of risks and side-effects in advance!

The Internet is everywhere and thus also in the tiniest devices forming the Internet of Things. But what happens when it comes to security issues?...

Lecture Series:

The Real-World Data Store, a data product to accelerate evidence generation

The digital health revolution causes major disruption in healthcare. It provides an unprecedented ability for real-world monitoring and an enormous potential for patient engagement...

Lecture Series:

There Is No AI Without Data: Industry Experiences on the Data Challenges of AI

Artificial intelligence (AI) constitutes a game-changer across all business sectors...

Lecture Series:

HIDA Lectures @ HEIBRiDS

The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis

29.03. - 31.03.2022

HEIBRiDS Spring School 2022

Permafrost in the Arctic, which is warming more than four times as fast as the global average, is thawing at an accelerating rate...

Lecture Series:

Machine Learning in Clinical Neuroimaging

Machine learning techniques have become increasingly popular for diagnosing and characterizing neurological and psychiatric diseases based on structural and functional MRI data...

Lecture Series:

Artificial Intelligence: a cross-sectional technology with algorithmic prejudices

Nowadays, Artificial Intelligence has become indispensable, it is represented in many areas, such as health, marketing, IoT, etc. and is improving and optimizing processes...

Lecture Series:

Similarity of materials and data-quality assessment by unsupervised learning

In recent years, data-analytics and machine-learning approaches are being applied to various problems of materials research...

Lecture Series:

Reproducible Research: Responding to 6W and 1H questions of Data Provenance

Scientific experiments play an increasingly important role in coming up with new findings and extending the world's knowledge...

Lecture Series:

IoT and the City: Smart Data Processing for Smart Applications

The idea of smart cities has changed from being technology-driven to focus on sustainability and the well-being of citizens...

Lecture Series:

Next Generation Data Networks: BitTorrent Meets Content Addressing

While the trend of decentralization is not new, the topic gained traction due to technological advancements, most notably content addressing and blockchain networks...

03.11. - 04.11.2021

Online/MDC-Mitte

HEIBRiDS Retreat 2021

Lecture Series:

Basics of Quantum Computing and Potentials in Machine Learning

Quantum computing is perceived to have a deep impact on computing and society in general. In this talk, we present the underpinnings of quantum computing...

Lecture Series:

SafePredict and Friends

SafePredict is a meta-algorithm for machine learning applications that strategically refuses to accept the predictions of an underlying machine learning algorithm or algorithms...

Lecture Series:

openclean - An Open-Source Data Cleaning Library for Python

The negative impact of poor data quality on the widespread and profitable use of machine learning makes data cleaning essential in many data science projects. ...

Lecture Series:

What Makes a Successful AI Project? 5 Questions to Ask Before Training Your Neural Network

The number of machine learning studies in weather and climate research is skyrocketing. This is only
logical given the successes of AI in other domains. ...

Research Integrity

What distinguished good behaviour in science?

Lecture Series:

TARS: Few-Shot Learning for Natural Language Processing

Machine learning models for natural language processing (NLP) are typically trained with
very large amounts of labeled training data. However, ...

Lecture Series:

Data-Driven Methods for Compound Design and Risk Assessment

Due to the ever-growing amount of available structural protein and compound bioactivity data - from
experimental sources or modeling approaches – ...

Lecture Series:

Recent Advances in Explainable AI

Deep neural networks (DNNs) are reaching or even exceeding the human level on an increasing number of complex tasks. However, ...

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