Deep-tech company SpiNNcloud penned a deal to deliver a brain-inspired supercomputer to Leipzig University. This move marks a significant step towards computing for small molecule research for personalised medicine.
The system uses around…
Deep-tech company SpiNNcloud penned a deal to deliver a brain-inspired supercomputer to Leipzig University. This move marks a significant step towards computing for small molecule research for personalised medicine.
The system uses around…
During a weekend golf outing at his resort in Scotland, US President Donald Trump was accompanied by a new addition to his security detail: a heavily armored Polaris Ranger X utility vehicle, dubbed “Golf Force One.”
The vehicle was…
Scientists have predicted and experimentally confirmed the existence of a material with “hybrid crystal-glass thermal properties.”
Interestingly, this material – a specific form of silicon dioxide called tridymite — was initially…
Saudi Arabia is ramping up its green hydrogen ambitions with a massive new facility planned in Yanbu. The Yanbu Green Hydrogen Hub, developed by ACWA Power in partnership with Germany’s EnBW, is expected to be nearly twice the size of the…
Scientists have built the world’s first automated cyborg insect ‘factory line’.
In the calculations, it is assumed that: \(b_0=0\) m, \(b_1=0.0022\) m, \(b_2 = 0.0062\) m and \(b_3 = 0.1202\) m. The values of emissivity \(\varepsilon =0.84\) and temperature of the surrounding \(T_{\infty }=273\) K are taken. It is also…
The proposed method for detecting abnormal health conditions of a person using joint process estimator-based rider optimization for Deep stack auto-encoder is shown in Fig. 1. In this work the health monitoring system capture the data such as…
This research focuses on a system that connects wind energy to the power grid as a sustainable energy source. The WECS is used and implemented as the primary energy source, consisting of a PMSG type with a capacity of 5.5 kW. Figure 1 depicts a…
Details of the main steps of our proposed methodology to model urban air pollution using ML methods and assessing the importance of the spatial and temporal resolutions in modeling are shown in Fig. 2.
The study’s primary workflow…
The current study evaluated the predictive performance of multiple ML models for estimating Cs using a dataset where 80% was allocated for training and 20% for testing. The models, including CNN, SVM,…