Woman Suffrage

It is my sincere hope that nothing I have here exhibited will be mistaken by the nobility and gentry for moral indignation. No such feeling, in truth, is in my heart. Moral judgments, as old Friedrich used to say, are foreign to my nature. Setting aside the vast herd which shows no definable character at all, it seems to me that the minority distinguished by what is commonly regarded as an excess of sin is very much more admirable than the minority distinguished by an excess of virtue. My experience of the world has taught me that the average wine-bibber is a far better fellow than the average prohibitionist, and that the average rogue is better company than the average poor drudge, and that the wors

machine-learning-technique-sharpens-prediction-of-material’s-mechanical-properties

Machine-learning technique sharpens prediction of material’s mechanical properties

Scientists at Nanyang Technological University, Singapore (NTU Singapore), Massachusetts Institute of Technology (MIT), and Brown University have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. Read More https://techxplore.com/news/2020-03-machine-learning-technique-sharpens-material-mechanical.html Views: 0