science wire

Durham University has a commitment to supporting local young people, as part of the 'In our City and Region' element of our University Strategy Refresh 2017-2027.

The computerisation of law has grown significantly in recent years. This has generated serious consequences.

The government is increasingly using algorithms in the application of laws and regulations. It is the responsibility of Parliament to ensure that this is done in a responsible manner.

A new algorithm solves complicated partial differential equations by breaking them down into simpler problems, potentially guiding computer graphics and geometry processing.' Computer graphics and geometry processing research provide the tools needed to simulate physical phenomena like fire and flames, aiding the creation of visual effects in video games and movies as well as the fabrication of complex geometric shapes using tools like 3D printing.

Pain may be the most prevalent and severe symptom reported by individuals with long Covid, according to a new study led by UCL researchers.

Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography. The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.

A whole swarm of drones exchanging information with each other could recently be seen over the TU Ilmenau campus.

Sabine Süsstrunk, an expert in scientific photography, has seen first-hand the amazing progress in imaging technology over the past 40 years. And now her field is being upended by artificial intelligence (AI). Prof. Süsstrunk is a computer scientist and has headed EPFL's Images and Visual Representation Laboratory since 1999.

An AI team coordinator aligns agents' beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.

AI agents could soon become indistinguishable from humans online. Could "personhood credentials" protect people against digital imposters?

The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.

The "Solving the crisis:" series explores the pressing challenges of our time, including climate change, biodiversity collapse, housing affordability and more.

Overwhelmed with credit cards options and obscure information, four young co-founders started Eclipse , which just released a new product to help users manage their finances and maximize rewards.

The use of computer graphics has expanded beyond making realistic movie and video game effects to fields like architecture and robotics.

New algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.

Content warning: This post contains details of sharing intimate imagery without consent that may be disturbing to some readers.

Neural networks are easily disrupted by adversarial attacks. Scientists at the University of Würzburg and the Technical University of Munich are now developing new methods to make these systems more robust.

CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone. At the top of many automation wish lists is a particularly time-consuming task: chores. The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn "generalist" policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions.

A quantum computing research collaboration connects MIT with the University of Copenhagen.

More efficient than other approaches, the "Thermometer" technique could help someone know when they should trust a large language model. People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However, despite the incredible capabilities and versatility of these models, they sometimes generate inaccurate responses.

Yuichi Hirose has a dream - a dream that someday everyone will have access to a machine capable of knitting furniture.

Thanks to the dedication of EPFL students, all motivated by the potential make a difference in someone's life, six MAKE prototypes were built last semester with the aim of assisting the mentally or physically challenged.

A new generation of specialty optical fibres has been developed by physicists at Bath to cope with the data transfer challenges expected from quantum computing.

Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency. Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen resumes to choose job interview candidates or aid hospitals in ranking kidney transplant patients based on their likelihood of survival.

A new study shows someone's beliefs about an LLM play a significant role in the model's performance and are important for how it is deployed. One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be applied. The same machine-learning model that can help a graduate student draft an email could also aid a clinician in diagnosing cancer.

AI systems must be accountable, transparent, fair, explainable, and ethical, it is often demanded. But according to professor Pinar Yolum, that is not realistic.

The Dutch Research Council (NWO) has awarded thirteen young TU Delft researchers from the Science (ENW) and Applied and Engineering Sciences (TTW) domains, a Veni grant of up to 320,000 euro.