Artificial Intelligence & Data Science

Detecting micro-debris in real-time is key to safer space operations. Next-gen mmWave radar technology enables high-resolution tracking of even the smallest fragments in LEO, reducing collision risks and enhancing space situational awareness. Discover how this innovation supports a more sustainable orbital future.

As industries push the boundaries of global connectivity, the integration of 5G and drive towards 6G with satellite and space-based networks is unlocking new opportunities. Kevin Cobley, an expert in this evolving field, shares his insights on the challenges and innovations shaping the future of non-terrestrial networks (NTN).

Discover the challenges and solutions for accurately modelling RF propagation in urban settings. Explore the innovative neural network model revolutionising urban RF systems.

Exploring the cutting-edge possibilities of Self-Supervised Learning (SSL) in machine learning architectures, revealing new potential for automatic feature learning without labelled datasets in niche and under-represented domains.

How do you choose? We explore the complexities and evolution of processing silicon choices in the AI era, from CPUs and GPUs to the rise of TPUs and NPUs for efficient artificial intelligence model implementation.

A practical guide for programmers on processing imaging radar data, featuring example Python code and a detailed exploration of a millimetre-wave radar's data processing pipeline.

Harnessing AI's capabilities to decode protein folding, catalysing a leap in biological research and therapeutic innovation.

Analysing the application of Artificial Intelligence in real-world scenarios, addressing its transformative potential and the ethical framework required for its deployment.

Exploring the possibilities of AI gesture control for household appliances and more, using privacy-preserving radar technology, underscoring innovation in smart home interactions.

Exploring the symbiosis of human expertise and AI, the team navigated the AI era, enhancing problem-solving capabilities across various sectors without compromising the human touch.

Repurposing military-grade technology to safeguard fine wines, ensuring their pristine condition from bottling to cellar.

Exploring the challenges and technological solutions to achieving effective eye contact through webcams in virtual meetings, enhancing remote communication in the post-COVID workplace.

This paper presents a sensor for measuring auditory brainstem responses to help diagnose hearing problems away from specialist clinical settings using non-invasive electrodes and commercially available headphones. The challenge of reliably measuring low level electronic signals in the presence of significant noise is addressed via a precision analog processing circuit which includes a novel impedance measurement approach to verify good electrode contact. Results are presented showing that the new sensor was able to reliably sense auditory brainstem responses using noninvasive electrodes, even at lower stimuli levels.

Power limits restrict CPU speeds, but GPUs offer a solution for faster computing. Initially designed for graphics, GPUs now handle general computing, thanks to advancements by NVIDIA, AMD, and Intel. With hundreds of cores, GPUs significantly outperform CPUs in parallel processing tasks. Modern supercomputers, like Titan, utilize thousands of GPU cores for immense speed. NVIDIA’s CUDA platform simplifies GPU programming, making it accessible for parallel tasks. While GPUs excel in parallelizable problems, they can be limited by data transfer rates and algorithm design. NVIDIA’s Tesla GPUs provide high performance in both single and double precision calculations. Additionally, embedded GPUs like the NVIDIA Jetson TX2 deliver powerful, low-power computing for specialized applications. Overall, GPUs offer superior speed and efficiency for parallel tasks compared to CPUs.