News
Machine Learning group news
New e-value even more flexible: significance level adjustable at a later stage
Paper by researcher Peter Grünwald published in Proceedings of the National Academy of Sciences.
ERC Advanced Grant for Peter Grünwald for research on a revolutionary statistical theory
Peter Grünwald, senior researcher in the Machine Learning group of CWI and part-time full professor of Statistical Learning at Leiden University has been awarded an ERC Advanced Grant for his research on …
Making AI more energy efficient with neuromorphic computing
Twenty-five years of pioneering work in neuromorphic computing at CWI is now bearing fruit. Thanks to algorithmic breakthroughs in training spiking neural networks many AI-applications can become much more energy-efficient.
Revolutionizing statistics to tame the replication crisis
CWI researchers have developed a better measure for determining whether or not scientific results are statistically significant. This ‘E-value’, as it is called, replaces the commonly used but often problematic p-value.
CWI involved in new consortium on energy-efficient AI
A total of 9 projects will receive 9 million euros by NWO.
Study presents large brain-like neural networks for AI
In a study that appears today in Nature Machine Intelligence*, CWI researchers Bojian Yin and Sander Bohté demonstrate a significant step towards artificial intelligence (AI) that can be used in local devices …
Learning better from data: Rianne de Heide wins prestigious award for her dissertation
How can humans and computers learn from data? In her dissertation Rianne de Heide describes some of these problems and introduces a new way of hypothesis testing. For this she received the …
Veni grant for Alexander Ly
The Dutch Research Council (NWO) awarded a Veni grant to Alexander Ly, who will start working at CWI in the run of 2022. Ly received the grant for his proposal “Increasing Scientific …
