A team of scientists from the Universities of Oxford, Cornell and San Jose State, collaborating across theoretical and experimental physics and computer science, have developed and trained a new Machine Learning (ML) technique, to finally understand how electrons behave in important quantum materials. Their far-reaching results were published in Nature online on 19 June and will feature in this week's print issue of Nature (Thursday 27 June).
A new mathematical model of the structure of networks could help find new cancer drugs, speed up traffic flow and combat sexually transmitted disease. Although the three challenges seem diverse, they all could benefit from a theory that helps uncover information about a network by analyzing its structure. Successful link prediction algorithms already exist for certain types of networks, but the researchers analyzed differently structured networks to come up with their alternative algorithm.
Using complex statistical methods and fast measurement techniques, researchers found how the brain network comes up with the right word and enables us to say it.
According to a first-of-its-kind study, cities with a higher incidence of a certain kind of racist tweets reported more actual hate crimes related to race, ethnicity, and national origin. Using machine learning, the researchers analyzed the location and linguistic features of 532 million tweets published between 2011 and 2016. The team found that cities with more targeted racist tweets, espousing discriminatory views, also had more real-life hate crimes.
High school students who take music courses score significantly better on math, science and English exams than their non-musical peers, according to a new study published in the Journal of Educational Psychology.
A universal query engine for big data that works across computing platforms could accelerate analytics research.
The deployment, successfully achieved by Ericsson and Telefónica, includes a new 5G Massive MIMO Radio running on 3.5GHz band, along with virtual Evolved Packet Core and User Data Consolidation.
A new MIT-developed technique enables robots to quickly identify objects hidden in a three-dimensional cloud of data, reminiscent of how some people can make sense of a densely patterned 'Magic Eye' image if they observe it in just the right way.
Colorado study suggests that changes to the tissue ecosystem and not necessarily mutations allows growth of cancer.
Joint press release by Kiel University and the Max Planck Institute for Evolutionary Biology in Plön (MPI-EB).