Microsoft released a big move late at night: RD-Agent was launched, will the R&D staff lose their jobs?

RD-Agent launched by Microsoft improves industrial productivity and innovation efficiency by automating key tasks in the research and development (R&D) process, and is particularly suitable for data-driven scenarios.

RD-Agent Architecture 

RD-Agent achieves closed-loop R&D through two major modules:

• Research
• Propose new ideas and hypotheses, continue to learn, and build knowledge
• For example: automatically reading research papers or financial reports, extracting key information and generating hypotheses.
• For example: In the data mining R&D process, a hypothesis is proposed (for example, a model structure like RNN can capture patterns in time series data), experiments are designed (for example, financial data contains time series, and the hypothesis can be verified in this case), the experiment is implemented as code (such as Pytorch model structure), and then the code is executed to obtain feedback (such as indicators, loss curves, etc.).
• Experts learn from the feedback and improve in the next iteration.

• Development
• Convert ideas or hypotheses into code and implement them
• For example: automated model tuning, feature engineering, factor backtesting, etc.