A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

We’ve all heard those crazy claims when it comes to hair growth that brands or people on the internet swear grew their hair 3 inches overnight (in case you were wondering, no, that’s just not possible ...

ABSTRACT: Reservoir rock porosity is usually determined by core analysis, but the cost of this method is huge, in order to establish a more accurate and stable reservoir porosity prediction model.

Abstract: In this letter, we introduce a backpropagation (BP) neural network-based inversion method for deriving the equivalent electromagnetic parameters of cellular microwave absorbing honeycomb ...

NVIDIA's new Regularized Newton-Raphson Inversion (RNRI) method offers rapid and accurate real-time image editing based on text prompts. NVIDIA has unveiled an innovative method called Regularized ...

Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...

ABSTRACT: Simultaneous waveform inversion was used to predict lithofacies and fluid type across the field. Very often, characterizing reservoirs in terms of lithology and fluid type using conventional ...

Teaching techniques refer to the diverse array of strategies and methodologies employed by educators to engage students and facilitate effective learning experiences. What are some examples of ...