In a paper published this week in the Proceedings of ACM Sigmetrics Conference, MIT researchers describe a model for forecasting financials that uses only anonymized weekly credit card transactions and three-month earning reports. Tasked with predicting quarterly earnings of more than 30 companies, the model outperformed the combined estimates of expert Wall Street analysts on 57 percent of predictions.
Thanks to the implementation of advanced random access schemes using efficient, low complexity algorithms. According to a study published in International Journal of Satellite Communications and Networking of which one of its authors is Giuseppe Cocco, a researcher at the DTIC and at the German Aerospace Center (DLR).
The very nature of online banking is the cause of the reticence of the over-55s to use it as they do not feel comfortable navigating the 'digital world'. To combat this situation, the experts recommend developing more intuitive applications with appropriate signposting and instructions to help avoid errors.
The interference between two photons could connect distant quantum processors, enabling an internet-like quantum computer network.
New research from Michigan State University is the first to apply criminal justice theory to smart vehicles, revealing cracks in the current system leading to potential cyber risks.
Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex.
Computer scientists from Rice University and Amazon, using a divide-and-conquer approach that leverages the power of compressed sensing, have shown they can train the equivalent of a 100 billion-parameter distributed deep learning network on a single machine in less than 35 hours for product search and similar extreme classification problems.
A new Tel Aviv University study proposes a radically simple and efficient way of calculating the complex physical quantity known as entropy -- and it probably exists on your own computer.
Researchers in Finland are 'training' pieces of plastic to walk under the command of light. The method developed, published Dec. 4 in the journal Matter, is the first time a synthetic actuator 'learns' to do new 'tricks' based on its past experiences, without computer programming.
Even after the hundredth time the material returns to its original shape when heated.