Still, it's common to hear local news stories about counterfeit money. For instance, earlier this year, a Home Depot worker ...

Companies like Amazon have opted for artificial intelligence (AI) as a key tool to detect and stop the sale of illegal items ...

The semiconductor industry has grown into a $500 billion global market over the last 60 years. However, it is grappling with dual challenges: a profound shortage of new chips and a surge of ...

Researchers present a novel framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. The researchers' framework uses fuzzy association rules ...

Counterfeit currency is an old problem taking on new weight in one of the most cash-intensive corners of retail. Because most licensed cannabis dispensaries still operate in predominantly cash ...

Counterfeit products have detrimental effects on consumers in various ways. They pose significant risks to consumer health and safety as counterfeit goods often fail to meet quality and safety ...

In the shadowy world of counterfeit alcoholic spirit production, where profits soar and brands are exploited, the true extent of this illegal market remains shrouded. Now scientists from the ...

According to AccuBANKER, a provider of commercial cash-handling solutions with more than 45 years of industry experience, choosing the right money counter begins with understanding operational ...

SPRINGFIELD, Mo. (KY3) - Counterfeit detection pens may not provide reliable protection against sophisticated fake currency, according to Federal Reserve warnings. The Federal Reserve cautions that ...

The Williston Police Department is warning of counterfeit bills that have been going around in the city.

Detection of counterfeit currency notes in the banking system increased by 5.7 per cent during 2025-26, according to the Reserve Bank of India’s latest annual report. The total number of fake currency ...

RAPTOR uses an attention mechanism for prioritizing nanoparticle correlations across pre-tamper and post-tamper samples before passing them into a residual, attention-based deep convolutional ...