The University of Cambridge has won its fight to stop a rowing company based in the city trademarking its name. It argued Cambridge Rowing Limited would be able to take unfair advantage of and cause detriment to the university's reputation if its logo was registered. The university owns trademarks for the word Cambridge, meaning it has the right to stop others from using it in certain circumstances. Omar Terywall, the company's founder, said he was gutted at the outcome and the case had been a terrifying ordeal. He said he hoped to appeal the decision by the Intellectual Property Office (IPO).

As part of a collaboration between Better Images of AI and Cambridge University's Diversity Fund, Hanna Barakat was commissioned to create a digital collage series to depict diverse images about the learning and education of AI at Cambridge. Hanna's series of images complement our competition that we opened up to the public at the end of last year which invited submissions for better images of AI from the wider community – you can see the winning entries here. Hanna provides her thoughts on the challenges of creating images that communicate about AI histories and the inherent contradictions that arise when engaging in this work. As outlined by the Better Images of AI project, normative depictions of AI continue to perpetuate negative gender and racial stereotypes about the creators, users, and beneficiaries of AI. The lack of diversity--and the problematic interpretation of diversity--in AI-generated images is not merely an'output' issue that can be easily fixed.

Robotics is helping to rehabilitate and increase human abilities in areas like mobility and stamina. Innovations in robotic devices, exoskeletons, and wearable tech aim to offer disabled people different perspectives and new experiences, as well as supporting humans more widely to access, inhabit and work safely in dangerous and extreme conditions. What does the future hold for these technologies and the people they will become a part of? In this special live recording at the Victoria and Albert Museum as part of the Great Exhibition Road Festival, Claire chatted to Milia Helena Hasbani (Imperial College London), Benjamin Metcalfe (University of Bath) and Dani Clode (Cambridge University) about robotic prosthetics and human augmentation. Milia Helena Hasbani is a researcher in assistive technology at Imperial College London.

Whether it is managing childcare, operating on a patient or cooking a Sunday dinner, there are many occasions when an extra pair of arms would come in, well, handy. Now researchers say such human augmentation could be on the horizon, suggesting additional robotic body parts could be designed to boost our capabilities. Tamar Makin, a professor of cognitive neuroscience at the MRC cognition and brain unit at Cambridge University, said the approach could increase productivity. "If you want an extra arm while you're cooking in the kitchen so you can stir the soup while chopping the vegetables, you might have the option to wear and independently control an extra robotic arm," she said. The approach has precedence: Dani Clode, a designer and colleague of Makin's at Cambridge University, has already created a 3D-printed thumb that can be added to any hand.

Alexa, Siri and Google Home might be making children less intelligent and socially stunted, it was claimed today. The voice-controlled devices -- popular in homes across the world -- allow users to ask questions and receive answers. But this may impede youngster's learning skills, critical thinking and empathy, says Dr Anmol Arora, a researcher at Cambridge University. Dr Anmol Arora, a researcher at Cambridge University, says this is down to the tech only offering short and concise answers to questions, inappropriate responses and being unable to give feedback on their social skills. Alexa, Siri and Google Home might be making children less intelligent and socially stunted, according to an artificial intelligence expert.

Scientists at Cambridge University have developed an AI system that they believe could diagnose dementia from a single brain scan. Pre-clinical testing suggests the tech can spot signs of dementia years before symptoms develop. The system is now being evaluated in clinical trials. Attend the tech festival of the year and get your super early bird ticket now! This process can take between four to 12 weeks, according to the Alzheimer's Society.

Renal transplantation is widely regarded as the best treatment for patients with end-stage kidney disease. Over the past 15 years, demand in the UK for kidney transplants has been rising, resulting in more elderly deceased donors being considered. The problem with elderly donors is that kidney function deteriorates with age. Kidney transplants from elderly donors are associated with higher risks of early failure. Early failure of a kidney graft is a disastrous outcome for the recipient.

In this technical talk, Amanda Prorok, Assistant Professor in the Department of Computer Science and Technology at Cambridge University, and a Fellow of Pembroke College, discusses her team's latest research on what, how and when information needs to be shared among agents that aim to solve cooperative tasks. Effective communication is key to successful multi-agent coordination. Yet it is far from obvious what, how and when information needs to be shared among agents that aim to solve cooperative tasks. In this talk, I discuss our recent work on using Graph Neural Networks (GNNs) to solve multi-agent coordination problems. In my first case-study, I show how we use GNNs to find a decentralized solution to the multi-agent path finding problem, which is known to be NP-hard.

This seminar forms part of the AI3SD Online Seminar Series that will run across the winter (from November 2020 to April 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is Robots, AI and NLP in Drug Discovery. Abstract: Natural Language Processing (NLP) has been used in drug discovery for decades.

Lancaster University, University of Essex and University of Alberta researchers will look at how AI can both lead to, and reduce, unintentional bias in job advertising and recruitment. The researchers will work with industrial partners to understand and mitigate gender and ethnic bias within human resource processes. Sheffield University and Simon Fraser University will use a cross-disciplinary approach to detect and counter abusive language online. The UK government is considering regulating social media platforms, requiring them to address abusive language and hate speech through content moderation. This project aims to develop AI methods to detect automatically and counter abuse and hate speech online.