Large language models (LLMs) present challenges, including a tendency to produce false or misleading content and the potential to create misinformation or disinformation. Augenstein and colleagues explore issues related to factuality in LLMs and their impact on fact-checking. ...
A machine-learning classifier predicts the origin of cancer of unknown primary based on electronic health records and next-generation sequencing data, showing that patients treated accordingly to model predictions had significantly better outcomes.
Democratizing education? Examining access and usage patterns in massive open online courses Hansen, John D.; Reich, Justin SCIENCE 2015 46 10.1126/science.aab3782 The Efficacy of Student-Centered Instruction in Supporting Science Learning Granger, E. M.; Bevis, T. H.; Saka, Y.; Southerland, ...
To understand the impact of using different possible neural network architectures, we have performed a manual scan over a set of neural network configurations. The input layer has 5 nodes (one per each x component) and the output layer has one node resulting in a scalar f ( x ; α ) ....
C.education pushes the humans to progress【2】Why does the writer talk about hunting in Paragraph 3A.To suggest some possible ways of changing living habits.B.To show a good example of adaptation.C.To explain why there is a need to use weapons.【3】What’s the writer’s opinion on ...
However, this is not the only opinion on the relationship between nature and culture. Studies in the development of humans suggest that culture, whether taken as an effort against nature or not, is part of the development of the humans.Several modern writers regarded the process of education ...
Born and raised in Canterbury, New Zealand – initially in Christchurch the site of earthquakes. I studied at Waikato University – Social Services including Geography and Education, then undertook a masters degree in Education as part of my teacher training. I am especially interested in how peop...
Computers and mathematics are very helpful for systems research and modeling, but I believe imagination and creativity are most helpful for systems education and learning. If we want to help billions of people on our planet to become creative systems thinkers and effective problem solvers, I believe...
There won't be one simple measurement method for that, but that'll become what we're trying to measure. That would change C SR programs quite a lot, yes. It also confronts us with the real moral dilemmas of why impact problems have been so unmanageable, we're mostly blind to them. ...
Machine Learning Comprehensive datasets across fields Highest Impact Data across the scholarly sector Highly structured datasets in eBooks for data mining Powerful Discovery Integrate data into ELNs, workbooks, code Bespoke constraints for competition & regulation monitoring ...