As game worlds grow more vast and complex, making sure they are playable and bug-free is becoming increasingly difficult for developers. And gaming companies are looking for new tools, including ...

You’re probably familiar with deepfakes, the digitally altered “synthetic media” that’s capable of fooling people into seeing or hearing things that never actually happened. Adversarial examples are ...

Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

AI can be racist. The problem lies with data, The data can throw up results that discriminate between certain people. This in turn is creating a need for ethical AI, but it is incredibly difficult to ...

A deep-learning algorithm developed by researchers is designed to help machines navigate in the real world, where imperfect or 'adversarial' inputs may cause uncertainty. In a perfect world, what you ...

Financial crime detection systems struggle against adaptive criminals who evolve evasion tactics. Current compliance systems are reactive, detecting known patterns but remaining vulnerable to novel ...