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Transforming dextrous robotic grasping
Computers can predict our preferences directly from our brain
Following e-cigarette conversations on Twitter using artificial intelligence
AI learns to type on a phone like humans
Strategic research agenda for the development of trustworthy AI in Europe
New algorithm reveals how private privacy-preserving computations really are
Other news
HIIT Sponsored CoSDEO Workshop on Usable Security
HIIT Sponsored CoSDEO Workshop on Usable Security In an increasingly connected world where the distinction between digital and analog gradually blurs, security is of imminent importance. However, traditional schemes which rely on ever longer and frequently changed passwords and patterns are stretched to their ...
Helsinki February Workshop on Theory of Distributed Computing
Helsinki February Workshop on Theory of Distributed Computing 20 researchers working in the area of distributed algorithms met in a HIIT-sponsored research workshop in Helsinki in February 2018. The one-week event organized at Aalto University brought together computer scientists from Austria, Finland, France, Germany, ...
Collaboration with CNR IEIIT on Indoor Localization and Activity Recognition
Collaboration with CNR IEIIT on Indoor Localization and Activity Recognition Indoor localization and activity recognition from WiFi signals is a field of active research in Communication, Pervasive and Ubiquitous computing domains in recent years. Specifically, fluctuation in signal strength, phase and energy distribution over ...
Staff member election to the HIIT Board
The HIIT Board for the next 4 years starting 1.4.2018 will be appointed soon. In a HIIT staff meeting 21.2.2018, the staff elected Antti Honkela as staff representative to the Board, with Matti Nelimarkka as deputy. Antti is an assistant professor at University of Helsinki and Matti is a postdoc at Aalto University.
More accurate transcription factor binding models
More accurate transcription factor binding models New model for the structure of transcription factor binding sites and a corresponding machine learning method developed by researchers at the University of Helsinki and Karolinska Institutet can handle large high-throughput data sets of DNA sequences.The activity ("expression") of ...
Several Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland)
Several positions to be filled at Aalto University and University of Helsinki in different areas of ICT:
- artificial intelligence and machine learning,
- data science,
- privacy and security,
- computational health, and
- human-computer interaction.
We welcome applications linking two or more of these areas together, and encourage female applicants to apply!
Deadline for applications is 31 January 2018. See further information.