We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.[#item_full_content]
Integrating post-quantum security algorithms into hardware has long been considered a challenge. But a research team at TU Graz has now developed hardware for NIST post-quantum cryptography standards with additional security measures for this purpose.Integrating post-quantum security algorithms into hardware has long been considered a challenge. But a research team at TU Graz has now developed hardware for NIST post-quantum cryptography standards with additional security measures for this purpose.[#item_full_content]
Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly across the field, you might get a far more accurate picture of the grass condition.Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some areas while completely neglecting others. But if you give them a strategy, like spreading out uniformly across the field, you might get a far more accurate picture of the grass condition.[#item_full_content]
Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.[#item_full_content]
Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or specific instrument tracks. Yet most existing tools are designed to be used by musicians, composers and music producers, as opposed to non-expert users.Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or specific instrument tracks. Yet most existing tools are designed to be used by musicians, composers and music producers, as opposed to non-expert users.[#item_full_content]
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]