A machine learning model can achieve 95% accuracy during development and still perform terribly after deployment. This is one of the frustrating realities of machine learning. You train the model, evaluate it on your test set, see impressive results, and think the hard part is over.
Atoms in a material are rarely still. They jiggle back and forth in collective lattice vibrations known as phonons. Their motion can also carry a rotational element: In 2023, scientists at PSI experimentally proved the existence of chiral phonons, which exhibit handedness depending on which way...
The report, "Digital heritage preservation for vulnerable collections: Reflections on the Sudan Memory project history and inventory," was authored by Dr. Laura Gibson, senior lecturer in digital content management education at King's, alongside Sara El-Nager, independent researcher and editor, ...
Networking Basics: Client-Server Model Client-Server Model Imagine you went to the grocery store to do your weekly shopping. You walked in and told the shopkeeper your shopping list — "give me these items. " The shopkeeper heard your order and told his staff to go pull those items.
With melanoma cases rising, the UK must learn from public health campaigns elsewhere New climate risks bring with them new health risks. An exceptionally warm and dry summer in Europe meant that outdoor workers, and those who choose to spend leisure time in the sun, were confronted more directly...
Physicists at the BESIII Collaboration have breathed new life into a decades-old test of one of the Standard Model's most important ideas, using a technique that had gone almost untouched by experimenters for 35 years.