The tool permits the early detection of errors at any point during the modelling process, not just on completion, as is the case now
The software was developed by the University of Trento. It is a new and revolutionary method to manage the accommodation of guests in hotel. RoomTetris finds the best solution, the ideal combination between demand and supply, optimizing room occupancy. A tile-matching game that no human mind, no matter how experienced and skilled, could do better, with the seriousness and scientific rigor of a mathematical demonstration
A new method, developed by Olivier Delaneau's group at the SIB Swiss Institute of Bioinformatics and the University of Lausanne, offers game-changing possibilities for genetic association studies and biomedical research. For less than $1 in computational cost, GLIMPSE is able to statistically infer a complete human genome from a very small amount of data. It offers a first realistic alternative to current approaches, and so allows a wider inclusion of underrepresented populations.
A multi-institution collaboration being led by Australian National University Associate Professor Christoph Federrath and Heidelberg University Professor Ralf Klessen has been using HPC resources at the Leibniz Supercomputing Centre to study turbulence's influence on galaxy formation. The team recently revealed the so-called 'sonic scale' of astrophysical turbulence--marking the transition moving from supersonic to subsonic speeds--creating the largest-ever simulation of supersonic turbulence in the process. The team published its research in Nature Astronomy.
Transactions between processors and memory can consume 95 percent of the energy needed to do machine learning and AI, which severely limits battery life. A team led by Stanford engineers has designed a system that can run AI tasks faster, and with less energy, by harnessing eight hybrid chips, each with its own data processor built right next to its own memory storage.
In a money-saving revelation for organizations inclined to invest in specialized information technology to support the process of idea generation, new research suggests that even non-specialized, everyday organizational IT can encourage employees' creativity.
Operators of Jefferson Lab's primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they're experiencing in near-real-time. An analysis of the results of the first field test of the custom-built machine learning system was recently published in the journal Physical Review Accelerators and Beams.
Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than state-of-the-art graphics processing units. The key is processing data where it is stored in computer memory and in an all-digital format. The researchers presented the new architecture, called DUAL, at the 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
A study by a team of Nanyang Technological University, Singapore (NTU Singapore) psychologists has found a link between extraverts and their word choices.
Scientists from the United States, China, and Russia have described the structure and properties of a novel hydrogen clathrate hydrate that forms at room temperature and relatively low pressure. Hydrogen hydrates are a potential solution for hydrogen storage and transportation, the most environmentally friendly fuel.