Mathematical model offers new strategies to prevent urban burglary
As with most crime, the highest rates of burglary occur in urban communities since large metropolitan areas generally boast more concentrated wealth. Existing mathematical models typically examine burglaries in residential, suburban environments, where similarly-structured houses with predictable lattice alignments are hotspots for repeated criminal activity. These models suggest that residential burglars prefer revisiting previously-burgled houses, or those with similar architecture, because they are already familiar with layout, security features, and availability of goods.
A new approach has been presented based on a nonlinear model of urban burglary dynamics that accounts for the deterring effect of police presence. The new model emphasizes timing of criminal activity rather than spatial spreading and location.
Computer model successfully trained to identify animals in photos
A computer model developed at the University of Wyoming has demonstrated remarkable accuracy and efficiency in identifying images of wild animals from camera-trap photographs in North America.
The artificial-intelligence breakthrough, is described as a significant advancement in the study and conservation of wildlife. The computer model is now freely available in a software package, allowing users to train their own machine learning models using images from new datasets.
Linear Algebra application to Artificial Intelligence
Linear algebra is a key subject to succeed in the field of Artificial Intelligence, was the first tip given by Dr Legg, co-founder of Artificial Intelligence firm DeepMind, to Aron Chase, a teenager from London passionate about AI. DeepMind is considered by many to be at the cutting-edge of AI research.
Mathematicians propose new hunting model to save rhinos and whales from extinction
Mathematicians have created a new model - of a variety commonly found in the world of finance - to show how to harvest a species at an optimal rate, while making sure that the animals do not get wiped out by chance. According to the theoretical study, hunting thresholds can be calculated for individual populations and species. The key to this is how quickly a population grows naturally, and how much it competes for resources.
Mathematician claims to have solved the Reimann hypothesis
One of the world's most renowned mathematicians showed how he solved the 160-year-old Riemann hypothesis at a lecture earlier this week. Sir Michael Atiyah, who has already won the two biggest prizes in mathematics - the Fields Medal and Abel Prize - took the stage at the Heidelberg Laureate Forum in Germany to present his work. To solve the hypothesis you need to find a way to predict the occurrence of every prime number, even though primes have historically been regarded as randomly distributed.