Disclosing the undisclosable: Section 112(a) challenges for artificial intelligence patents

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...
AlphaGalileo

Microwave-Derived Hierarchic Liquefaction of Pentose and Intensified Separation of Furfural

A new strategy for the efficient conversion of hemicellulose to furfural through a microwave-coupled multi-stage tandem ...

Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to ...
EurekAlert!

New 3D printing method makes affordable, realistic replicas as structurally complex as a human hand

Using an affordable 3D printer and the CRAFT method, researchers created a model human hand from a single feedstock with distinct domains that mimic the hardness or flexibility of skin, ligaments, ...
VentureBeat

New AI training method creates powerful software agents with just 78 examples

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.
C&EN

Thermokinetic Characteristics of Coal by Multi Kinetics Methods and TG–MS and TG-DSC-FTIR: A Case of the Dananhu Second Mine of Xinjiang

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. This study employs TG–MS and TG-DSC-FTIR coupled instruments to ...
IEEE

A Wideband Analog Linearizer Design Method Based on Frequency-Dependent Gain and Phase Characteristics of Amplifiers

Abstract: This article presents a design method of analog predistorter (APD) for Doherty power amplifiers (DPAs) based on minimum frequency-dependent gain and phase deviation to improve the output ...
IEEE

An Efficient Scattering Characteristics Similarity-Based Tuning-Driven Optimization Method for Microwave Filters

Abstract: In this article, a scattering characteristics similarity-based tuning-driven optimization (SCSTDO) method is proposed for microwave filter tuning applications. The most critical part of the ...
Scientific Research Publishing

Application of Machine Learning Methods in Parameter Prediction of Deep Lacustrine Oil Shale Reservoirs—Taking the Triassic Chang 7 in the Longdong Area as an Example ()

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China. 2 Key Laboratory of Petroleum Geology and Reservoir, Xi’an Shiyou University, Xi’an, China. In the course of oil and ...
Scientific Research Publishing

Characteristics of Qualitative Research Methods in Clinical Psychology in Japan ()

1 Faculty of Law, Economics and Humanities, Kagoshima University, Kagoshima, Japan. 2 Department of Psychiatry, Kagoshima University, Kagoshima, Japan. 3 Graduate School of Medical and Dental Science, ...
GitHub

method-of-characteristics

To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion ...