The hottest Surveillance technology Substack posts right now

Modern policing uses a lot of technology. There are many ways to gather evidence from digital devices like phones and cars.
Smartphones are crucial in investigations today. They can provide a lot of information about a person's movements and actions.
While technology helps solve crimes, it also raises concerns about privacy. People worry about how their data is collected and used.

Concerns about Israel's possible ethnic cleansing in Gaza are getting more substantiation.
AI advancements are speeding up, with predictions for various feats being revised to earlier dates.
The Russia-Ukraine war is not just causing destruction, but also benefiting the military industrial complex.

Metros around the world are increasingly adopting new security measures like metal detectors and facial recognition technology.
Developed countries in North America and Europe have not yet embraced these security technologies in their Metro systems.
The use of National Guard or military personnel in Metro systems has sparked controversy and raised concerns about privacy and civil liberties.

Drones are becoming a major player in warfare. While many people see drones as fun technology, they are actually being weaponized and will play a crucial role in future conflicts.
Countries around the world, including the US, China, and Russia, are busy developing drone armies. This shift in military power means future wars will look very different from anything we've seen before.
It's important to think about how to defend against drone attacks, especially as they become more common. We need to prepare for the reality of drone warfare and consider ways to protect ourselves.

Bellingcat's usage of Echosec mostly stopped in 2015 due to costs and service changes
Bellingcat's open source intelligence work is influential in civil society and intelligence agency practices
Private intelligence firm Flashpoint advertised Echosec as a useful tool for journalists despite potential usage discrepancies with Bellingcat

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Training neural networks can be tricky, and it's important to understand common mistakes to get good results.
AI is making big waves in various fields, including music and scientific research, showing how versatile it can be.
Data scientists need to know the business and the data well, or they risk becoming bottlenecked and less effective.