For more than a dozen years, ENR has conducted the Global Best Projects competition by inviting project teams from around the world to submit entries in a variety of sectors. These projects are then ...

Identifying cracks is critical for the monitoring of civil infrastructure. To enhance inspection efficiency, a proposed autonomous crack segmentation and exploration system enables the agent to ...

This is one in a series about trends in how signals get to the transmitter. Ted Nahil is U.S. sales representative of 2wcom Systems GmbH. He has served as chief engineer or director of engineering at ...

A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky—such as an exploding star, a black hole tearing ...

With ever-increasing costs to put a single molecule on the market, the pressure to reach clinical milestones quickly and efficiently often drives a focus on short-term gains that can create ...

Today, we sat down with Prova to discuss her journey, her research philosophy, and why adaptability and interpretability define lasting AI.

Licensing microreactors challenges long-standing industry norms. Can the US NRC adopt new approaches to approve them by 2030?

Wesco's Alan Farrimond explains how, with the right strategy, data centers can confidently introduce liquid cooling into their environments.

On the mechanical side, poor fasteners that loosen under vibration or over temperature cycles allow gaps or motion, which degrade both electrical and mechanical performance, leading to inefficiencies ...

The team provided the LLM with just 15 labelled examples for each of three major sky surveys (ATLAS, MeerLICHT, and Pan-STARRS). Each example included a small image of a new alert, a reference image ...

This is the first article in a two-part series where we show how to build your own anti-bot system to protect a login endpoint, without relying on third-party services. Many bot detection solutions, ...

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...