OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance. If you can only read one tech story a day, this is it. We use ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...

Abstract: The emerging software defined networking (SDN) paradigm separates the data plane from the control plane and centralizes network control in an SDN controller. Applications interact with ...

School of Electronic Engineering and Computer Science Undergraduate Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Enhance your CS classroom and content knowledge through support with industry volunteers. Get all the tools you need to recruit and train volunteers that can support you. Microsoft MakeCode is a free ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Q&A: Temporal aims to be the reliability backbone for an agentic AI economy Temporal Co-founder and CEO Samar Abbas weighs in on AI reliability, execution and what IT decision-makers should to keep in ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

This innovative one-year direct entry degree builds on the skills and qualifications you’ve already gained to put you ahead in the global jobs market by gaining a full honours BSc degree in ...