Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

In the canals, marshes, and swamps of the Florida Everglades, invasive fish are silently slipping into new waterways. Among them are the Asian swamp eel and the bullseye snakehead, two air-breathing ...

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

Quantum computers are alternative computing devices that process information, leveraging quantum mechanical effects, such as entanglement between different particles. Entanglement establishes a link ...

HEADQUARTERS IN TOWSON. WE’VE LEARNED HUMAN ERROR, SPECIFICALLY A LACK OF COMMUNICATION IS RESPONSIBLE FOR THE POLICE RESPONSE AND NOT THE AI GUN DETECTION SYSTEM. COUNCILMAN JULIAN JONES AND IZZY ...

AEGIS is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It provides systematically generated failure scenarios with verifiable ground-truth labels across ...

In seismic structural interpretation, fault detection plays a crucial role as it serves as the foundation and key step for identifying favorable oil and gas zones. Currently, many re-searchers are ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: The error stability of current transformers (CTs) during online operation is highly sensitive to power grid fluctuations, often resulting in error overruns ...

Abstract: The current transformer is a critical sensing device for real-time monitoring of power system operations. However, its performance can degrade over time, leading to measurement errors that ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...