In Shakespeare’s time, about a quarter of all plays were collaboratively written by two or more dramatists. Christopher Marlowe’s classic work “Doctor Faustus” was first performed in the 1580s or early 1590s but only published in 1604, 11 years after his death. The dramatists Samuel Rowley and William Bird were paid in 1602 to write new additions to the play.In Shakespeare’s time, about a quarter of all plays were collaboratively written by two or more dramatists. Christopher Marlowe’s classic work “Doctor Faustus” was first performed in the 1580s or early 1590s but only published in 1604, 11 years after his death. The dramatists Samuel Rowley and William Bird were paid in 1602 to write new additions to the play.[#item_full_content]

A team of microchip engineers at Pragmatic Semiconductor, working with a pair of colleagues from Harvard University and another from Qamcom, has developed a bendable, programmable, non-silicon 32-bit RISC-V microprocessor. Their research is published in the journal Nature.A team of microchip engineers at Pragmatic Semiconductor, working with a pair of colleagues from Harvard University and another from Qamcom, has developed a bendable, programmable, non-silicon 32-bit RISC-V microprocessor. Their research is published in the journal Nature.[#item_full_content]

Artificial intelligence (AI) models like ChatGPT run on algorithms and have great appetites for data, which they process through machine learning, but what about the limits of their data-processing abilities? Researchers led by Professor Sun Zhong from Peking University’s School of Integrated Circuits and Institute for Artificial Intelligence set out to solve the von Neumann bottleneck that limits data-processing.Artificial intelligence (AI) models like ChatGPT run on algorithms and have great appetites for data, which they process through machine learning, but what about the limits of their data-processing abilities? Researchers led by Professor Sun Zhong from Peking University’s School of Integrated Circuits and Institute for Artificial Intelligence set out to solve the von Neumann bottleneck that limits data-processing.[#item_full_content]

Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.Recently, the research team led by Prof. Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.[#item_full_content]

Online gaming is increasingly popular. As such, server efficiency is becoming an increasingly urgent priority. With millions of players interacting in real-time, game servers are under enormous pressure to process a huge amount of data without latency (delays) or crashes. Research in the International Journal of Information and Communication Technology discusses an innovative solution to the problem, offering a promising path to greater stability and performance in mobile real-time strategy games and beyond.Online gaming is increasingly popular. As such, server efficiency is becoming an increasingly urgent priority. With millions of players interacting in real-time, game servers are under enormous pressure to process a huge amount of data without latency (delays) or crashes. Research in the International Journal of Information and Communication Technology discusses an innovative solution to the problem, offering a promising path to greater stability and performance in mobile real-time strategy games and beyond.[#item_full_content]

Ever been asked a question you only knew part of the answer to? To give a more informed response, your best move would be to phone a friend with more knowledge on the subject.Ever been asked a question you only knew part of the answer to? To give a more informed response, your best move would be to phone a friend with more knowledge on the subject.[#item_full_content]

It took about 20 hours and a lot of coffee for a team of scientists from the Swiss National Center of Competence in Research NCCR MARVEL to complete a computational marathon that showcased both the power of Switzerland’s main supercomputing facility, and the level of maturity achieved by Swiss-made software tools for computational materials science.It took about 20 hours and a lot of coffee for a team of scientists from the Swiss National Center of Competence in Research NCCR MARVEL to complete a computational marathon that showcased both the power of Switzerland’s main supercomputing facility, and the level of maturity achieved by Swiss-made software tools for computational materials science.[#item_full_content]

Deepfake videos generated by artificial intelligence grow increasingly difficult to identify as false, a challenge that could significantly skew the results of the upcoming presidential election.Deepfake videos generated by artificial intelligence grow increasingly difficult to identify as false, a challenge that could significantly skew the results of the upcoming presidential election.[#item_full_content]

Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.[#item_full_content]

Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus method that harnesses the power of deep learning to dynamically select regions of interest in grayscale images. The study was published in the journal Sensors.Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus method that harnesses the power of deep learning to dynamically select regions of interest in grayscale images. The study was published in the journal Sensors.[#item_full_content]