News
Machine Learning group news
Mastering Vision – How Inductive Biases Shape Mammalian Learning Efficiency
CWI project awarded in NWO Open Competition.
White paper highlights potential of brain-inspired computing
Recently, the white paper “Neuromorphic Computing in the Netherlands,” coordinated by Johan Mentink of Radboud University has been published. This paper underscores the country’s significant expertise in brain-inspired computing and advocates for …
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 …
