Autonomous driving is largely considered the future of the auto industry, but while the technology behind the endeavor is advancing all the time, it seems there is still much left to be desired. In a recent study, scientists managed to confused artificial intelligence with the use of simple stickers. This could have a devastating effect on machine learning as a whole.
In the paper that the researchers published, the scientists noted how AIs can be fooled by real-world obstructions such as putting stickers on a stop sign. The researchers confirmed this by basically covering signs with tape to either obstruct the word STOP or by putting stickers all over the sign in order to add more words for the AI to deconstruct.
“We physically realized and evaluated two attacks, one that causes a Stop sign to be misclassified as a Speed Limit sign in 100% of the testing conditions, and one that causes a Right Turn sign to be misclassified as either a Stop or Added Lane sign in 100% of the testing conditions,” the paper reads.
This is a huge deal for the auto industry since being able to read signs accurately is a significant aspect of driving. If autonomous cars can’t even read road signs due to vandalism or even just normal wear and tear, they are going to be less safe than proponents would have wanted them to be.
Of course, this is just a stumbling block that engineers can easily solve. As Futurism points out, if drivers can get corrective eye surgery so that they can drive again, AIs can certainly be improved to have better image recognition.
What this study and others like it aim to do is simply point companies in the right direction so that they know which aspects of their technologies they are supposed to improve. By doing so, autonomous driving becomes safer and technology advances smoothly.


SpaceX Reports $8 Billion Profit as IPO Plans and Starlink Growth Fuel Valuation Buzz
SoftBank Shares Slide After Arm Earnings Miss Fuels Tech Stock Sell-Off
Google Cloud and Liberty Global Forge Strategic AI Partnership to Transform European Telecom Services
OpenAI Expands Enterprise AI Strategy With Major Hiring Push Ahead of New Business Offering
Anthropic Eyes $350 Billion Valuation as AI Funding and Share Sale Accelerate
Oracle Plans $45–$50 Billion Funding Push in 2026 to Expand Cloud and AI Infrastructure
Global PC Makers Eye Chinese Memory Chip Suppliers Amid Ongoing Supply Crunch
Nvidia CEO Jensen Huang Says AI Investment Boom Is Just Beginning as NVDA Shares Surge
Sony Q3 Profit Jumps on Gaming and Image Sensors, Full-Year Outlook Raised
TSMC Eyes 3nm Chip Production in Japan with $17 Billion Kumamoto Investment
Nvidia, ByteDance, and the U.S.-China AI Chip Standoff Over H200 Exports
SpaceX Updates Starlink Privacy Policy to Allow AI Training as xAI Merger Talks and IPO Loom
SoftBank and Intel Partner to Develop Next-Generation Memory Chips for AI Data Centers
Amazon Stock Rebounds After Earnings as $200B Capex Plan Sparks AI Spending Debate
Nvidia Confirms Major OpenAI Investment Amid AI Funding Race 



