Search Results for: machine learning
Adaptive experiments: Machine learning can help scientific discovery
Machine learning can help scientists design experiments. Scientific discovery relies on experiments that build our understanding of natural phenomena, and traditionally has been based on trial and error. Depending on […]
Research Outreach – Issue 132: Police deception, machine learning, and psychedelic therapy
Research Outreach Issue 132 includes a number of articles, such as a study of a natural resin as a powerful pesticide, how phytoplankton impacted biodiversity, and how implementing solvent-based recycling […]
Machine Learning Week Europe 2022 is live!
Machine Learning Week Europe is live in Berlin! But what even is it? Machine learning is a form of artificial intelligence, where software applications and computers learn how to improve […]
Machine learning paves the way to advances in genome sequencing
Genome sequencing platforms are transforming the field of genetic disease research as they offer a closer look at human genes and DNA for clinical diagnostics. Based on machine learning methods, […]
Optimising Particle Accelerators with Adaptive Machine Learning
Machine learning has become a staple of research into many of today’s most cutting-edge technologies. Until now, however, it has not been widely considered as a useful tool for online […]
Protein structure prediction with machine learning
Shuichiro Makigaki and Dr Takashi Ishida, from the Department of Computer Science at Tokyo Institute of Technology, are developing a new sequence alignment generation model that employs machine learning and dynamic programming to […]
Predicting protein function and annotating complex pathways with machine learning
Dr Daisuke Kihara’s team at Purdue University have created novel computational approaches for predicting protein functions. Instead of following a one-protein-one-function approach, their algorithms can predict the functional relationships of […]
Reconstructing astronomical images with machine learning
Much of what we know about how our universe works has been learnt by analysing the astronomical signals captured from the sky. However, these signals will inevitably have some noise […]
Information compression as a unifying principle in human learning, perception, and cognition, and as a foundation for the SP Theory of Intelligence
In an extended programme of research, Dr Gerry Wolff of CognitionResearch.org, with colleagues, has been developing the SP Theory of Intelligence and its realisation in the SP Computer Model – […]
Machine metaphors: Ethical and philosophical challenges in synthetic biology
The emerging field of synthetic biology faces a growing need for conceptual clarification and ethical deliberation. Dr Joachim Boldt from the University of Freiburg has analysed the use of machine […]