Application of neural networks in personnel management

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One of the key areas of research in the field of creating a digital workforce is the use of recurrent neural networks (RNNs) to predict staff departures. These neural networks are able to analyze historical data such as employee performance indicators, tenure, departmental changes, and economic indicators to identify patterns that may lead to departures. This approach allows companies to proactively manage their workforce and reduce the risk of losing valuable employees. Imagine that instead of an entire HR department, your company will have a digital HR with a number of advantages, and most importantly, without the influence of cognitive biases and personal sympathies in decision-making.

Using Memristors in Neural Networks

Another significant area is the development of neural networks america cell phone number list based on memristors. A memristor (from the words “memory” and “resistor”) is an electronic component that simultaneously performs the functions of memory and resistance. It has a unique property: its resistance can change depending on the magnitude and direction of the electric current applied to it and is maintained after the voltage is removed. Memristors, which can effectively simulate brain synapses, promise to revolutionize the computing capabilities of AI due to their high degree of integration and parallel data processing. This makes them promising components for creating the next generation of AI that can work more efficiently and imitate complex human cognitive processes. With the creation of technology, digital workers will be able to perform not only operations based on programming and data analysis, but also more creative tasks.



Research on digital workforce development also actively uses hybrid approaches, such as a combination of multiple criteria analysis (MCDA) and artificial neural networks (ANN) to evaluate employee performance. These approaches allow for more accurate assessment of each employee’s contribution and informed HR decisions (IEEExpert).

Impact on business and the labor market

The introduction of digital employees based on neural networks can significantly change the labor market and business processes. Companies using such technologies can reduce personnel management costs, improve the quality of decisions made, and increase overall productivity. However, this can also raise certain social and ethical issues related to automation and possible job losses.