NEO is a humanoid robot from Palo Alto-based robotics startup 1X that could one day autonomously help out around your home.

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Anomalo Inc., an enterprise platform that uses artificial intelligence to monitor and ensure data quality, today unveiled ...

In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...

Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...

With Amazon’s rocketing ad revenue growth, it’s only a matter of time before all payment and transaction data owners want in on the fun. PayPal launched its media business a year ago, hiring Mark ...

In the age of cloud computing, protections baked into chips from Intel, AMD, and others are essential for ensuring confidential data and sensitive operations can’t be viewed or manipulated by ...

Looking ahead: OpenAI is pushing ahead with some of the largest infrastructure projects ever attempted in the technology industry, unveiling plans for a trillion-dollar network of data centers ...

Earlier this year, Australian police arrested a passenger for running a malicious Wi-Fi network both at an airport and during a flight. The setup looked just like the airline's own Wi-Fi service, but ...

Light beamed through fiber can be used to test and monitor fiber networks. It is also increasingly being used as a sophisticated sensor for the world around the fiber cable. On the surface, an optical ...

LONDON – Network operators are discovering that AI for network operations is less about revolutionary technology and more about solving fundamental data engineering problems. Vishnu Acharya, Uber’s ...

Abstract: Accurate monitoring of power module spatial temperature (PMST) remains a critical challenge in power electronics. This letter proposes a Fourier Neural Operator based Thermal Model (FNO-TM) ...