Department of Computer Science

Department of Computer Science

We are an internationally-oriented community and home to world-class research in modern computer science.

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News

Verena Distler ja Raphael Weidhaas

Emotions help explain why people click phishing emails

Researchers call for information security training to take emotions into account more effectively.

News
Two children play with bright cartoon panels on a grey tiled wall, spinning sections to mix the figures.

RealYou AI will develop the next generation of personalized AI decision assistants

Researchers to build cognitive machine learning that will improve decision-making with instantly personalized intelligent assistance.

News
Aerial view of a modern brick-and-glass campus with curved roads, trams and a lake and forest in the background

Highly sought-after EU funding for three Aalto University researchers

The projects focus on atomically precise materials-engineering, LED-based thermal management and quantum methods in distributed networks.

News

New podcast explores Finnish contributions to artificial intelligence

Researchers Arno Solin ja Eric Malmi interview pioneers, entrepreneurs and experts about the AI field's history, disruptive consequences and the probability of humanity's destruction.

Read more
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Events

Lectures and seminars –

Mind meets Machine Seminar

A talk series at intersection of psychology, neuroscience, cognitive science, social science, and technology at Aalto Department of Computer Science.
Lectures and seminars –

ELLIS–FIMM talk: Ola Spjuth "AI, Automation, and Phenomics for Mechanistic Insights: From Data Generation to Intelligent Agents"

You are warmly invited to a special lecture by Professor Ola Spjuth, Uppsala University
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Public defences –

Public defence, Computer Science, MSc Nguyen Luong

Behavioral Sensing for Routine Characterization and Mental Health.
Doctoral hat floating above a speaker's podium with a microphone.
Public defences –

Public defence, Computer Science, MSc Muhammad Arslan Masood

Molecular representation learning for extreme low data in-vivo toxicity modeling.

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