Differential

Ian Butler jacketing a gypsum sample. Credit: James Gilgannon Earth is a stressed planet. As plates move, magma rises, and glaciers melt—just to mention a few scenarios—rocks are subject to varying pressure and compressional and extensional forces. The effect of these stresses on rock mineralogy and texture is of great interest to the tectono-metamorphic community. Yet the link between process and outcome remains elusive.…

How Neural Networks are strong tools for solving differential equations without the use of training dataPhoto by Linus Mimietz on UnsplashDifferential equations are one of the protagonists in physical sciences, with vast applications in engineering, biology, economy, and even social sciences. Roughly speaking, they tell us how a quantity varies in time (or some other parameter, but usually we are interested in time variations). We can understand how a population, or a stock price, or even how the opinion of some society…

Credit: Unsplash/CC0 Public Domain In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function. To solve these difficult equations, researchers use high-fidelity numerical…

Learn about Crystal Bar Charts and create your own with PythonContinue reading on Towards Data Science » Learn about Crystal Bar Charts and create your own with PythonContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are…

MASTERING BASICSA Guide to Understanding Fundamental Definitions and Key PrinciplesImage by AuthorDifferential privacy (DP) is a rigorous mathematical framework that permits the analysis and manipulation of sensitive data while providing robust privacy guarantees.DP is based on the premise that the inclusion or exclusion of a single individual should not significantly change the results of any analysis or query carried out on the dataset as a whole. In other words, the algorithm should come up with comparable findings…

How to use differential equations layers in pytorchDifferential equations are the mathematical foundation for most of modern science. They describe the state of a system using an equation for the rate of change (differential). It is remarkable how many systems can be well described by equations of this form. For example, the physical laws describing motion, electromagnetism and quantum mechanics all take this form. More broadly, differential equations describe chemical reaction rates through the law of mass action,…

The trifecta Konami is responsible for my top three games on the Sega Genesis console. I’ve covered Rocket Knight Adventures and Castlevania: Bloodlines already, but the third is Contra: Hard Corps. The thing is, while the former two titles are difficult trials in their own right, Contra: Hard Corps is one that I’ve never been able to fully consummate with. It’s hard. It’s right there in the title. The biggest reason why these three titles are even difficult is that Konami had this strange insistence on using limited…

Credit: Pixabay/CC0 Public Domain Researchers from Cal Poly, Washington State University, and Claremont-McKenna Graduate School published a new Journal of Public Policy & Marketing (JPP&M) article finding that companies who engage in political advocacy experience lower sentiment on social media, lower brand attitudes and purchase intentions overall, and that these effects are driven by consumers lower in political…

Privacy through a coin flipImage Credit: Dima AndreiDifferential privacy (DP) is a way to preserve the privacy of individuals in a dataset while preserving the overall usefulness of such a dataset. Ideally, someone shouldn’t be able to tell the difference between one dataset and a parallel one with a single point removed. To do this, randomized algorithms are used to add noise to the data.As a simple example, imagine this: you are in a school with a total student body of 300 people. Each of you are asked, “Have you ever…

Last year, MIT developed an AI/ML algorithm capable of learning and adapting to new information while on the job, not just during its initial training phase. These (in the sense) literally play 4D chess — their models requiring to operate — which makes them ideal for use in time-sensitive tasks like pacemaker monitoring, weather forecasting, investment forecasting, or autonomous vehicle navigation. But, the problem is that data throughput has become a bottleneck, and scaling these systems has become prohibitively…