The equitable assessment of individual contribution in teams remains a persistent challenge, where conflict and disparity in workload can result in unfair performance evaluation, often requiring manual intervention - a costly and challenging process. We survey existing tool features and identify a gap in conflict resolution methods and AI integration. To address this, we propose a framework and implementation design for a novel AI-enhanced tool that assists in dispute investigation. The framework organises heterogeneous artefacts - submissions (code, text, media), communications (chat, email), coordination records (meeting logs, tasks), peer assessments, and contextual information - into three dimensions with nine benchmarks: Contribution, Interaction, and Role. Objective measures are normalised, aggregated per dimension, and paired with inequality measures (Gini index) to surface conflict markers. A Large Language Model (LLM) architecture performs validated and contextual analysis over these measures to generate interpretable and transparent advisory judgments. We argue for feasibility under current statutory and institutional policy, and outline practical analytics (sentimental, task fidelity, word/line count, etc.), bias safeguards, limitations, and practical challenges.

Digital pathology has gained significant traction in modern healthcare systems. This shift from optical microscopes to digital imagery brings with it the potential for improved diagnosis, efficiency, and the integration of AI tools into the pathologists workflow. A critical aspect of this is visualization. Throughout the development of a machine learning (ML) model in digital pathology, it is crucial to have flexible, openly available tools to visualize models, from their outputs and predictions to the underlying annotations and images used to train or test a model. We introduce TIAViz, a Python-based visualization tool built into TIAToolbox which allows flexible, interactive, fully zoomable overlay of a wide variety of information onto whole slide images, including graphs, heatmaps, segmentations, annotations and other WSIs. The UI is browser-based, allowing use either locally, on a remote machine, or on a server to provide publicly available demos. This tool is open source and is made available at: https://github.com/TissueImageAnalytics/tiatoolbox and via pip installation (pip install tiatoolbox) and conda as part of TIAToolbox.

When someone cuts you off on the motorway, do you take a deep breath and turn up the radio, or put your foot down and get right up to their bumper? Road rage is all too easy to slip into, but it can become a real problem when it starts to impact how people drive. Scientists from the University of Warwick have identified some of the most common behaviours of aggressive drivers. They say these will help self-driving vehicles spot and react appropriately to road users who may have lost their cool. It comes after one study found that women are more likely to suffer from road rage than men.

Video emerged last week of a man getting the QR code from his Tesco Clubcard tattooed on his wrist, so he never missed out on a bargain again. Dean Mayhew paid £200 to get his wrist permanently inked with the code at a tattoo parlour in Chessington, south-west London. The 30-year-old had become tired of missing out on bargains by forgetting his clubcard so decided to make sure he had it on him at all times. Video shows the tattooed QR code failing to scan at a self-service checkout, but working with a handheld scan gun at the counter. Mayhew has become one of the newest members of a growing global community known as the biohackers, or'grinders'.

Artificial intelligence (AI) discovered more than 50 exoplanets. In the future, it is expected that machines will play a big role in helping humans in space exploration in the astronomy world. Fox News reported on the 1st (local time) that researchers at the University of Warwick in the UK have discovered 50 additional exoplanets by applying AI technology based on old data from NASA. The results of this study were published in a monthly report published by the Royal Astronomical Society (RAS). The researchers developed the algorithm data from NASA's Kepler Space Telescope, which stopped working in 2018.

Warwick Business School's Distance Learning MBA started 36 years ago as a postal course -- a mode of delivery that must seem positively quaint to any students born in that inaugural year of 1986. Today's learners access the course via a bespoke online platform which, Warwick says, enables them to "engage in lectures in real time . . . As online MBA providers vie to attract students, all are becoming more inventive in the way they deliver content. Before long, technologies such as virtual reality and artificial intelligence may make current courses look as outdated as an envelope of study materials thudding on to a doormat. Investment has been accelerated by the coronavirus pandemic, which forced business schools to teach even conventional MBA students remotely. Find out which schools are in our ranking of Online MBA degrees. Take a look at our analysis and methodology. Also, read the rest of our coverage at www.ft.com/online-learning. Warwick's technology now includes green-screen video studios that allow presenters to be superimposed on different backgrounds. "We take some content from a member of faculty that's a flat information-sharing process," says Dot Powell, the school's director of teaching and learning enhancement. "Around that, we'll design activities, interactive features and encourage the students to engage with the content and with each other.

The cyborgs are upon us. Turns out, they're more'enhanced reality' and less'science fiction.' In 1998, Professor of Cybernetics Kevin Warwick had a chip implanted in his body that would open electronic doors and turn on lights as he passed. In 2002, he had a 100 electrode array wired into the nervous system of his arm to allow him to remotely control an artificial hand. Performance artist Stelios Arcadiou (who has changed his name to Stelarc) has spent 10 years growing an artificially-created ear that is surgically attached to his left arm. In 2009, Jerry Jalava, a Finnish computer engineer who lost part of a finger in a motorcycle accident, turned his prosthetic finger into a USB drive.

Searching for different uses of artificial intelligence has always been a successful journey and among its numerous uses, quantum mechanics stands in a vital position. Artificial Intelligence can be used to predict molecular wave functions and the electronic properties of molecules. The behavior of the electron in the molecule can be observed and the data can be fed to AI algorithm, which would further predict the future behaviors of the electrons in the molecules. The researchers of University of Warwick, the Technical University of Berlin and the University of Luxembourg have together come up with such innovative ways of using AI. Using quantum mechanics, the behavior of an electron in a molecule is still described by a wave function, analogous to the behavior in an atom. Just like electrons around isolated atoms, electrons around atoms in molecules are limited to discrete (quantized) energies.

Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of pediatric brain tumors a UK-based multi-center study, including WMG at the University of Warwick has found. This means that the tumor can be characterized and treated more efficiently. The largest cause of death from cancer in children are brain tumors in a particular part of the brain, called the posterior fossa. However, within this area, there are three main types of brain tumor, and being able to characterize them quickly and efficiently can be challenging. Currently, a qualitative assessment of MRI by radiologists is used; however, overlapping radiological characteristics can make it difficult to distinguish which type of tumor it is, without the confirmation of biopsy.

The Shadow Robot Dexterous Hand is a robot hand, with size, shape, and movement capabilities similar to those of a human hand. To give the robotic hand the ability to learn how to manipulate objects researchers from WMG, University of Warwick, have developed new AI algorithms. Robot hands can be used in many applications, such as manufacturing, surgery and dangerous activities like nuclear decommissioning. For instance, robotic hands can be very useful in computer assembly where assembling microchips requires a level of precision that only human hands can currently achieve.