Tensor-based multi-view clustering has recently received significant attention due to its exceptional ability to explore cross-view high-order correlations. However, most existing methods still encounter some limitations. (1) Most of them explore the correlations among different affinity matrices, making them unscalable to large-scale data. (2) Although some methods address it by introducing bipartite graphs, they may result in sub-optimal solutions caused by an unstable anchor selection process. (3) They generally ignore the negative impact of latent semantic-unrelated information in each view. To tackle these issues, we propose a new approach termed fast Disentangled Slim Tensor Learning (DSTL) for multi-view clustering . Instead of focusing on the multi-view graph structures, DSTL directly explores the high-order correlations among multi-view latent semantic representations based on matrix factorization. To alleviate the negative influence of feature redundancy, inspired by robust PCA, DSTL disentangles the latent low-dimensional representation into a semantic-unrelated part and a semantic-related part for each view. Subsequently, two slim tensors are constructed with tensor-based regularization. To further enhance the quality of feature disentanglement, the semantic-related representations are aligned across views through a consensus alignment indicator. Our proposed model is computationally efficient and can be solved effectively. Extensive experiments demonstrate the superiority and efficiency of DSTL over state-of-the-art approaches. The code of DSTL is available at https://github.com/dengxu-nju/DSTL.

By Nicole Rosenthal (July 14, 2022, 6:53 PM EDT) -- International cybersecurity contractor KBR announced Thursday it will lead research and development for an artificial intelligence and machine-learning project at the U.K. Ministry of Defence. Frazer-Nash Consultancy, a U.K. and Australian technology services provider that KBR acquired in October 2021, is set to work with the MOD's Defence Science and Technology Laboratory, or Dstl, as part of the three-year Autonomous Resilient Cyber Defence project, which will develop defense concepts that can be tested and evaluated against simulated military attacks. "Dstl are excited to be working with KBR and Frazer-Nash on this vanguard project, delivering cutting-edge response and recovery concept demonstrators over...

Plans for the future of cutting-edge UK Artificial Intelligence (AI) defence technology have been unveiled in a new strategy published today at London Tech Week AI Summit. The strategy and accompanying policy on the'Ambitious, Safe and Responsible' use of AI underpin a new Defence AI Centre (DAIC), which will offer a visionary hub to champion, enable and innovate these technologies across the UK Armed Forces with pace and ambition. In the face of ever-evolving threats to global security, the Defence AI Strategy outlines how the UK will prioritise research, development, and experimentation to revolutionise our Armed Forces capabilities through new concepts and cutting-edge technology to deliver the latest equipment to the battlefield through effective, efficient, trusted pathways. Concepts include AI-enabled autonomous combat vehicles and resupply systems to deliver supplies without putting people in danger, or soldiers on the front-line guided by smart systems drawing on hours of detailed footage captured by a series of small drones. We also publish today our policy on the'Ambitious, Safe and Responsible' use of AI, developed through partnership with the Centre for Data Ethics and Innovation (CDEI), including new ethical principles for the use of AI in Defence.

The participants, from the Defence, Science and Technology Laboratory (Dstl), had three days to transform a'dumb' car into one which could navigate a course using artificial intelligence (AI) . The challenge aimed to demonstrate the benefits of reinforcement learning and the differences between the virtual and physical environments. When you are faced with a problem you have not faced before you're forced to think laterally and think outside the box. That's why we love to give our teams and particularly our early career staff these different and exciting challenges. It gives us the opportunity to engage with new technologies which are going to be really important to us in the future.

Plans for the future of cutting-edge UK Artificial Intelligence (AI) defence technology have been unveiled in a new strategy published today at London Tech Week AI Summit. The strategy and accompanying policy on the'Ambitious, Safe and Responsible' use of AI underpin a new Defence AI Centre (DAIC), which will offer a visionary hub to champion, enable and innovate these technologies across the UK Armed Forces with pace and ambition. In the face of ever-evolving threats to global security, the Defence AI Strategy outlines how the UK will prioritise research, development, and experimentation to revolutionise our Armed Forces capabilities through new concepts and cutting-edge technology to deliver the latest equipment to the battlefield through effective, efficient, trusted pathways. Concepts include AI-enabled autonomous combat vehicles and resupply systems to deliver supplies without putting people in danger, or soldiers on the front-line guided by smart systems drawing on hours of detailed footage captured by a series of small drones. We also publish today our policy on the'Ambitious, Safe and Responsible' use of AI, developed through partnership with the Centre for Data Ethics and Innovation (CDEI), including new ethical principles for the use of AI in Defence.

The Air Force Research Laboratory, in partnership with United Kingdom's Defence Science and Technology Laboratory (Dstl), have demonstrated for the first time the ability for the U.S. and the U.K. to jointly develop, select, train and deploy state-of-the-art machine learning algorithms in support of the armed forces of each of the two nations. This research is designed to support adjacent, collaborating U.S. and U.K. brigades with enduring wide-area situational awareness, which aims to improve decision-making, increase operational tempo, reduce risk to life and reduce manpower burden. The in-person, virtual demonstration was hosted jointly at AFRL's Information Directorate in Rome and Dstl at its site near Salisbury, U.K., Oct. 18. The demonstration highlighted integrated AI technologies across the two nations, showcasing the ability to share data and algorithms through a common development and deployment platform to enable the rapid selection, testing and deployment of AI capabilities. The event was made possible by a U.K. and U.S. partnership agreement concerning autonomy and AI collaboration established in December 2020.

The Air Force Research Laboratory, in partnership with United Kingdom's Defence Science and Technology Laboratory (Dstl), have demonstrated for the first time the ability for the U.S. and the U.K. to jointly develop, select, train and deploy state-of-the-art machine learning algorithms in support of the armed forces of each of the two nations. This research is designed to support adjacent, collaborating U.S. and U.K. brigades with enduring wide-area situational awareness, which aims to improve decision-making, increase operational tempo, reduce risk to life and reduce manpower burden. The in-person, virtual demonstration was hosted jointly at AFRL's Information Directorate in Rome and Dstl at its site near Salisbury, U.K., Oct. 18. The demonstration highlighted integrated AI technologies across the two nations, showcasing the ability to share data and algorithms through a common development and deployment platform to enable the rapid selection, testing and deployment of AI capabilities. The event was made possible by a U.K. and U.S. partnership agreement concerning autonomy and AI collaboration established in December 2020.

The Royal Navy, the British navy, has used artificial intelligence at sea for the first time. It was during the "Formidable Shield" exercise, currently taking place off the coast of Scotland, that AI was exploited by the maritime component of the UK army. Two applications were tested to combat supersonic missile threats. "Formidable Shield is an exercise designed to test the weapons systems of ten NATO navies and their interoperability against the latest and most advanced threats. Belgium, Denmark, France, Germany, Italy, the Netherlands, Norway, Spain, the United States and the United Kingdom participate in the initiative, which takes place every two years for three weeks. As part of the exercise, a British operational experiment was conducted on HMS Dragon, a Type 45 destroyer, and HMS Lancaster, a Type 23 frigate. Two AI applications called Startle and Sycoiea were tested to combat a potential supersonic missile threat. "It is vital that our brave and skilled armed forces stay in the game for the security of the UK and our allies.

Dstl has worked closely with industry partners Roke (Startle App), CGI (Sycoiea App) and BAE Systems to ensure the new A.I. Dstl has invested heavily in the systems that are installed at the moment, but it's imperative that we continue to invest to make sure that the Royal Navy remains relevant now and in the future. Observing Startle and Sycoiea augment the human warfighter in real time against a live supersonic missile threat was truly impressive – a glimpse into our highly-autonomous future. Designed to improve allied interoperability and capabilities, it is a three-week exercise that carries out live-fire Integrated Air & Missile Defence activity with more than 15 ships, 10 aircraft and around 3,300 military personnel from around the world taking part. Dstl has invested heavily in the systems that are installed at the moment, but it's imperative that we continue to invest to make sure that the Royal Navy remains relevant now and in the future. Observing Startle and Sycoiea augment the human warfighter in real time against a live supersonic missile threat was truly impressive – a glimpse into our highly-autonomous future.

This Operational Experiment (OpEx) on the Type 45 Destroyer (HMS Dragon) and Type 23 Frigate (HMS Lancaster), is using the A.I. applications, Startle and Sycoiea, which were tested against a supersonic missile threat. As part of the Above Water Systems programme, led by Defence Science and Technology Laboratory (Dstl) scientists, the A.I. improves the early detection of lethal threat, accelerates engagement timelines and provide Royal Navy Commanders with a rapid hazard assessment to select the optimum weapon or measure to counter and destroy the target. It's vital that our brave and highly skilled Armed Forces stay ahead of the game for the security of the United Kingdom and our allies. The Royal Navy's use of A.I. for the first time at sea is an important development in ensuring readiness to tackle threats we may face. I'm proud to see that two Scottish built Royal Navy vessels are at the heart of this exercise in the waters off the Hebrides.