ΑΙhub.org
Elements of AI – Free online courses for everyone
Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Courses include:
What is AI?
AI problem solving
Real world AI
Machine learning
Neural networks
Implications
You can take the course for free here.
Sabine Hauert
is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
Sabine Hauert
is Associate Professor at the University of Bristol, and Executive Trustee of AIhub.org
AUAI is supported by:
Related posts :
Why the world’s banks are so worried about Anthropic’s latest AI model
The Conversation
21 May 2026
The finance world’s concern rests on the impressive cyber capabilities of a product called Mythos.
Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle
Ella Scallan
20 May 2026
Jonathan Frankle discusses empiricism, making an impact, and the legacy of his lottery ticket hypothesis for which he was awarded the 2023 AAAI/ACM Doctoral Dissertation Award.
A faster way to estimate AI power consumption
MIT News
19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
Introducing ARFBench: A time series question-answering benchmark based on real incidents
ML@CMU
18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.
Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?
The Conversation
15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.
Reflections from #AIES2025
Ella Scallan and Lucy Smith
14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.
Deep learning-powered biochip to detect genetic markers
Nanyang Technological University, Singapore
13 May 2026
System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.
Half of AI health answers are wrong even though they sound convincing – new study
The Conversation
12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.
