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Energy-Aware Deep Learning on Resource-Constrained Hardware
The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing.
Benchmarking Ultra-Low-Power $μ$NPUs
Our framework provides a foundation for further evaluation of $\mu$NPU platforms alongside valuable insights for both hardware designers and software developers in this rapidly evolving space.
Terracorder: Sense Long and Prosper
In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifetime and coverage.
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces
Consequently, they are susceptible to a multiplicity of attacks across the hardware, software, and networking stacks used that can leak users' brainwave data or at worst relinquish control of BCI-assisted devices to remote attackers.
How Computer Science Can Aid Forest Restoration
The world faces two interlinked crises: climate change and loss of biodiversity.
Retrofitting Parallelism onto OCaml
OCaml is an industrial-strength, multi-paradigm programming language, widely used in industry and academia.
Programming Languages D.3.4
Personal Data: Thinking Inside the Box
We propose there is a need for a technical platform enabling people to engage with the collection, management and consumption of personal data; and that this platform should itself be personal, under the direct control of the individual whose data it holds.
Computers and Society
