AI could indeed wreak havoc in the white-collar workforce. But rather than make such jobs less lucrative—let alone ...

Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...

It took nearly six months (and 16,000 hot glue gun sticks) for Arizona schoolkids to recreate the massive Army machine, which ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

This increase in AI productivity is measurable across various sectors, as supply chains operate more efficiently, data ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers ...

Nick Dube was growing weary of the frequent reports of hikers, backwoods skiers and other recreationists getting lost, sick ...

NordVPN denied allegations that its internal Salesforce development servers were breached, saying that cybercriminals obtained "dummy data" from a trial account on a third-party automated testing ...

Abstract: State estimation in the presence of unknown inputs remains a fundamental challenge in control and monitoring applications. Traditional unknown-input observer (UIO) relies on explicit system ...

Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...