But with that power comes vulnerability, and one of the most pressing—yet often overlooked—threats today is data poisoning.

There’s a lot that AI can’t do, but hype and misinformation are driving prospective students away from Computer Science.

As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...

Hype cycles distort the path to value—and GenAI is no exception. Using lessons learned from the rise (and stall) of IoT, here ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Effective pest management begins with accurate identification. Misidentifying pests can lead to wasted chemical use, harm to ...

As the hype surrounding AI intensifies, many CIOs face a familiar tension: how to deliver tangible business value now, while ...

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...

To address the issue of more compact solutions, VITA, a non-profit rugged standards organization, has developed the VITA 93 QMC standard (see figure). Earlier VITA mezzanine standards include VITA 32 ...

The Internet of Things (IoT) is having a profound impact on businesses across various industries, including security. In ...

techUK members lead the development of these technologies. Together we are working with Government and other stakeholders to ...

The rapid transformation of Artificial Intelligence (AI) is reshaping every aspect of life, learning, and social interaction, ...