The conference stands as a testament to the university's growing role as a hub for high-impact research and interdisciplinary ...

As cloud computing becomes more common, businesses have had to contend with the challenge of protecting sensitive data during processing. Confidential computing addresses this by keeping data in use ...

Data visualisation and computational methods have increasingly converged to address the challenges of interpreting complex, high‐dimensional datasets across diverse disciplines. By integrating ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.

In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing capabilities within storage units, these ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...