Karen Price was just 15 when she vanished in 1981 and, had it not been for a chance discovery by two builders, her body might never have been found. Because no-one was looking for her. Dubbed Little Miss Nobody, Karen had not been seen for eight years when her skeletal remains, wrapped in a carpet, were uncovered by two unsuspecting builders in Cardiff city centre on 7 December 1989. Her body, found in a shallow grave outside a basement flat on Fitzhamon Embankment, was so badly decomposed it was impossible to establish the cause of her death. Now, more than 40 years on and after the release of her killer, a new documentary has examined how police put together the jigsaw to solve the killing of a teenager known to no-one and how it involved groundbreaking methods to bring two men to justice.

South Wales Police have revealed plans to deploy live facial recognition cameras in Cardiff during this year's Six Nations rugby internationals. The cameras will be placed at'key points' across the city centre, and will alert officers to anyone who is on a predetermined watchlist. The force claims that the cameras will help to'keep visitors safe'. 'The expansion of facial recognition cameras around the city centre really enhances our ability to keep visitors safe from harm,' said Trudi Meyrick, Assistant Chief Constable. 'Our priority is to keep the public safe and this technology helps us achieve that.'

The generalization of language models (LMs) is undergoing active debates, contrasting their potential for general intelligence with their struggles with basic knowledge composition (e.g., reverse/transition curse). This paper uncovers the phenomenon of linear correlations in LMs during knowledge composition. For explanation, there exists a linear transformation between certain related knowledge that maps the next token prediction logits from one prompt to another, e.g., "X lives in the city of" $\rightarrow$ "X lives in the country of" for every given X. This mirrors the linearity in human knowledge composition, such as Paris $\rightarrow$ France. Our findings indicate that the linear transformation is resilient to large-scale fine-tuning, generalizing updated knowledge when aligned with real-world relationships, but causing hallucinations when it deviates. Empirical results suggest that linear correlation can serve as a potential identifier of LM's generalization. Finally, we show such linear correlations can be learned with a single feedforward network and pre-trained vocabulary representations, indicating LM generalization heavily relies on the latter.

The recent rise in increasingly sophisticated cyber-attacks raises the need for robust and resilient autonomous cyber-defence (ACD) agents. Given the variety of cyber-attack tactics, techniques and procedures (TTPs) employed, learning approaches that can return generalisable policies are desirable. Meanwhile, the assurance of ACD agents remains an open challenge. We address both challenges via an empirical game-theoretic analysis of deep reinforcement learning (DRL) approaches for ACD using the principled double oracle (DO) algorithm. This algorithm relies on adversaries iteratively learning (approximate) best responses against each others' policies; a computationally expensive endeavour for autonomous cyber operations agents. In this work we introduce and evaluate a theoretically-sound, potential-based reward shaping approach to expedite this process. In addition, given the increasing number of open-source ACD-DRL approaches, we extend the DO formulation to allow for multiple response oracles (MRO), providing a framework for a holistic evaluation of ACD approaches.

Police will use live facial recognition technology in Cardiff during the Beyoncé concert on Wednesday, despite concerns about racial bias and human rights. The technology will be used in Cardiff city centre, but not at the stadium, to "support" the artist's concert at the Principality stadium by identifying wanted individuals and ensuring safeguarding, South Wales police said, as the artist kicks off the UK leg of her first solo headline tour in seven years. A spokesperson for the force said the technology would be used in the city centre, not at the concert itself. In the past, police use of live facial recognition (LFR) in England and Wales had been limited to special operations such as football matches or the coronation, when there was a crackdown on protesters. Daragh Murray, a senior lecturer of law at Queen Mary University in London, said the normalisation of invasive surveillance capability at events such as a concert was concerning, and was taking place without any real public debate.

We are currently looking for a Machine Learning Researcher/ Scientist (Immunology) to join our growing organisation based in Cardiff. As an AI start-up we are looking to transform the Healthcare industry by utilising Machine Learning to accelerate the drug discovery process. As a Machine Learning Researcher/ Scientist you will get have the opportunity to contribute to research publications, whilst helping to create new tools to help treat patients and actively save lives. This Machine Learning Researcher/ Scientist (Immunology) will join the team during a period of significant growth, helping considerably influence our modelling program. As a Machine Learning Researcher/ Scientist, you will gain the opportunity to join us at an early stage in our ambitious adventure to solve a huge industry challenge.

The use of automatic facial recognition (AFR) technology by South Wales Police is unlawful, the Court of Appeal has ruled. It follows a legal challenge brought by civil rights group Liberty and Ed Bridges, 37, from Cardiff. But the court also found its use was proportionate interference with human rights as the benefits outweighed the impact on Mr Bridges. South Wales Police said it would not be appealing the findings. Mr Bridges had said being identified by AFR caused him distress.

Cutting-edge medical research is the talk of the town at the moment and this innovative discovery platform are growing their presents within the medical research field. AI and Machine Learning is at the full front of what they do and they're looking for an experienced (academic or commercial) Machine Learning Engineer to support their continued growth. You'll be working on architecting the AI powered GCP discovery platform, taking on big problems and doing lots of research! This vacancy will be closing application on 15th August 2020. If you have any questions or fancy a chat about the opportunity feel free to give George Bone a call or apply for the advert and George will be in contact.

We are looking for someone inquisitive and keen to make an impact using innovative analytical methods for our client. You must have a keen interest in machine learning and be ready to expand your skills as the field progresses. Whilst you enjoy research and proposing solutions to the rest of the team, you keep an equal focus on delivering business value. Equally, you will enjoy learning about the business needs and working with a range of stakeholders.

To see exactly how the networks are performing, what speeds to expect and the extent of coverage, I toured the UK to test 5G in five major cities: London, Cardiff, Birmingham, Manchester and Edinburgh. The next-generation wireless technology promises a big boost in speed and responsiveness, bringing not just a faster connection to your phone, but also enabling advancements like telemedicine and self-driving cars. The UK deployment is among several happening worldwide from the US to South Korea, as 5G slowly turns from hype to reality. EE and Vodafone have the largest UK networks so far, while O2 and Three are ramping up. I visited the cities across the course of a week, seeking out a variety of locations in each place that showed as 5G-enabled zones on network coverage maps.