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The Secret Behind AI Drive-Thrus? It's Humans Doing the Work.

The AI drive-thru company Presto uses humans to get most of its fast food orders right. ....

Rajat Suri , Sam Altman , Carls Jr , Del Taco , Presto Voice , Artificial Neural Networks , Generative Pre Trained Transformer , Sam Altman , Rajat Suri , Artificial Intelligence , Pplications Of Artificial Intelligence , Carls Jr , Generative Artificial Intelligence , Del Taco , Large Language Models , Emerging Technologies ,

Google launches Gemini, an AI trained to behave in human-like ways

Google took its next leap in artificial intelligence Wednesday with the launch of project Gemini, an AI model trained to behave in human-like ways. ....

San Francisco , United States , Demis Hassabis , Sam Altman , Google Deepmind , Sundar Pichai , Eli Collins , London Based Deepmind , Greater London , United Kingdom , L Lc , Microsoft Corporation , Alphabet Inc , Technology Internet , Meta Platforms , Deep Learning , Large Language Models , Gpt 4 , Generative Artificial Intelligence , Deepmind Technologies Limited , Artificial General Intelligence , Artificial Neural Networks , Artificial Intelligence , Generative Pre Trained Transformer ,

Yi Y. Neuromorphic Computing 2023

Yi Y. Neuromorphic Computing 2023
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"Experimental investigation supported by artificial neural networks (AN" by Alex J. Frimpong, Gangfeng Tan et al.

This paper proposes a novel dust separation and thermal inactivation system that couples an electromagnetic induction heating coil with a cyclone separator. The idea is aimed at the thermal inactivation of potential microorganisms (viruses and other pathogens) associated with dust-laden gas streams, particularly from road surfaces. The integrated system was tested in an experimental setup as a proof-of-concept investigation at different cyclone-induction heating temperatures of 100–400 °C (373–673 K) and air discharge flow velocities of 5–30 m/s. In addition, the influence of operating parameters such as cyclone heating temperature (as induction heating inputs), inlet air velocity, and heating time on the efficacy of the induction heating process were investigated. The time-averaged temperature measurements along the axial direction (z-down) showed predominant temperature fluctuations in the cylinder and cone sections for all cases, especially when the gas plummets down the cycl ....

Artificial Neural Network , Artificial Neural Networks , Yclone Separator , Lectromagnetic Induction Heating , Heating Performance , Hermal Inactivation ,

"WEAKLY NONLINEAR SURFACE WAVE PREDICTION USING A DATA-DRIVEN METHOD WI" by Jialun Chen, Wenhua Zhao et al.

Accurate surface wave prediction can potentially improve the safety and efficiency of various offshore operations, such as heavy lifts and active control of wave energy converters and floating wind turbines. Prediction of surface waves, even if only for a few periods in advance, is of value for decision-making. This study aims to predict weakly nonlinear surface waves (up to the 2nd-order) in real-time using a data-driven model based on Artificial Neural Networks (ANN), where the application of physics is investigated to aid the development of a data-driven model. Based on numerically synthesized nonlinear wave records calculated using exact 2nd-order theory, ANN models were trained to separate the nonlinear bound components at an up-wave location, propagate the linear waves and reintroduce the nonlinear components as a correction to the prediction at a downwave location. The results show that the optimal approach is to predict each stage separately following the basic physical structu ....

Artificial Neural Networks , Artificial Neural Network , Machine Learning , Nonlinear Waves , Ave By Wave Prediction ,