Using AI to reverse engineer hardware

A researcher has created a tool that uses AI to reverse engineer hardware by analyzing a device's power consumption and heat generation. The tool, called 'Razor', uses a combination of machine learning and simulation to identify the device's internal components and their functions. The researcher, who remains anonymous, claims that Razor can identify components with an accuracy of 90% and can even detect hidden features like encryption keys. The tool is still in its early stages, but it has already been used to reverse engineer a Raspberry Pi and an ASUS motherboard.