Tech companies are putting pressure on the UK government to encourage an AI datacentre boom in remote areas of Great Britain by offering some of the cheapest electricity prices in Europe. A report paid for by the tech companies Amazon and OpenAI has called on ministers to overhaul the UK's electricity market by splitting it into different zones so that prices become more expensive in areas where power is in short supply, and cheaper in those where it is ample. This market arrangement, known as zonal pricing, would make areas such as Scotland a hotspot for AI datacentres – which use vast amounts of electricity – because of an abundance of windfarms and low population density, according to the report by the Social Market Foundation (SMF) thinktank. Keir Starmer said last month that artificial intelligence would be "mainlined into the veins" of the nation after putting in place a sweeping action plan to make the UK a world leader in the technology. However, the plans to host datacentres have attracted some scepticism, in part because the UK has some of the highest industrial electricity prices in the world and is pressing targets to virtually eliminate fossil fuels from the power system by the end of the decade.

Revitalizing Japan's remote areas has become a crucial task, and Matsue City exemplifies this effort in its temporary event spaces, created through collective efforts to foster urban vibrancy and bring together residents and visitors. This research examines the relationship between data-driven in-sights using generative AI and visual attractiveness by evaluating tempo-rary events in Matsue City, particularly considering the cognitive-cultural differences in processing visual information of the participants. The first phase employs semantic keyword extraction from interviews, categorizing responses into physical elements, activities, and atmosphere. The second phase analyzes spatial perception through three categories: layout hierar-chy, product visibility, and visual attention. The correlation indicates that successful event design requires a balance between spatial efficiency and diverse needs, with a spatial organization that optimizes visitor flow and visibility strategies considering cultural and demographic diversity. These findings contribute to understanding the urban quality of temporary event spaces and offer a replicable framework for enhancing the visual appeal of events in remote areas throughout Japan.

Clean drinking water is available even in the most remote areas. Imagine a world where clean drinking water is readily available even in the most remote areas. This vision is becoming a reality thanks to innovative research from scientists in Canada. A team of scientists at Dalhousie University in Halifax, Nova Scotia, has developed a groundbreaking device that could revolutionize water desalination, offering hope to millions facing water scarcity worldwide. At the heart of this innovation is a floating solar still, a device that harnesses the sun's energy to purify seawater.

As Machine Learning systems become increasingly popular across diverse application domains, including those with direct human implications, the imperative of equity and algorithmic fairness has risen to prominence in the Artificial Intelligence community. On the other hand, in the context of Shared Micromobility Systems, the exploration of fairness-oriented approaches remains limited. Addressing this gap, we introduce a pioneering investigation into the balance between performance optimization and algorithmic fairness in the operation and control of Shared Micromobility Services. Our study leverages the Q-Learning algorithm in Reinforcement Learning, benefiting from its convergence guarantees to ensure the robustness of our proposed approach. Notably, our methodology stands out for its ability to achieve equitable outcomes, as measured by the Gini index, across different station categories--central, peripheral, and remote. Through strategic rebalancing of vehicle distribution, our approach aims to maximize operator performance while simultaneously upholding fairness principles for users. In addition to theoretical insights, we substantiate our findings with a case study or simulation based on synthetic data, validating the efficacy of our approach. This paper underscores the critical importance of fairness considerations in shaping control strategies for Shared Micromobility Services, offering a pragmatic framework for enhancing equity in urban transportation systems.

Japan Airlines has kicked off an unmanned drone service to deliver goods and medical supplies in a remote part of Japan that's prone to heavy rains and landslides. The carrier is working with local authorities in the town of Setouchi, a tiny inlet in Okayama Prefecture that's home to 8,000 residents. A FAZER R G2 drone will be deployed by Amami Island Drones for the work, JAL said Thursday. People living in the area normally rely on ships for their daily logistic needs. But those vessels are often stranded by rough waves and have to cancel their scheduled runs.

Generative Artificial Intelligence (AI) has shown tremendous prospects in all aspects of technology, including design. However, due to its heavy demand on resources, it is usually trained on large computing infrastructure and often made available as a cloud-based service. In this position paper, we consider the potential, challenges, and promising approaches for generative AI for design on the edge, i.e., in resource-constrained settings where memory, compute, energy (battery) and network connectivity may be limited. Adapting generative AI for such settings involves overcoming significant hurdles, primarily in how to streamline complex models to function efficiently in low-resource environments. This necessitates innovative approaches in model compression, efficient algorithmic design, and perhaps even leveraging edge computing. The objective is to harness the power of generative AI in creating bespoke solutions for design problems, such as medical interventions, farm equipment maintenance, and educational material design, tailored to the unique constraints and needs of remote areas. These efforts could democratize access to advanced technology and foster sustainable development, ensuring universal accessibility and environmental consideration of AI-driven design benefits.

It may look like something out of the classic science-fiction series Thunderbirds. But this spaceship-like flying vehicle could well be an ambulance of the future. That's because it has been designed to speed to emergencies at 288mph (250 knots), with the target of arriving at the scene within just eight minutes. Although it is currently just a concept, the JA1 Pulse will be built to carry emergency equipment and one trained medical professional to remote and difficult to access areas of the countryside. The crew member will be both the pilot and first responder.

Automation involves having a machine perform simple, repetitive operations that follow instructions or workflows set by humans. Automation tasks are very repetitive, predictable tasks. Think of a machine in a factory that makes the same part the same way over and over again. For many people, artificial intelligence (AI) means robots that perform complex human tasks in science fiction movies. Actually, this is partially true.

ORLANDO, Fla. (Ivanhoe Newswire) – Our computers, devices, smart watches, video monitoring systems – we rely on connectivity to the internet and don't think twice about it. Now, scientists are developing technology for artificial intelligence that will allow it to work even in remote areas. Self-driving cars, drone helicopters, medical monitoring equipment – it's all cutting-edge technology that requires connection to the cloud. Now, researchers at the University of Central Florida are developing devices that won't rely on internet connection. "What we are trying to do is make small devices, which will mimic the neurons and synapses of the brain," researcher at the University of Central Florida, Tania Roy, PhD, explains.

As the title suggests, this paper will be a deep dive into my projections of our future with artificial intelligence. Now, being that this topic can prove to be quite expansive and lengthy I will be restraining this paper to address two main questions. The questions at hand are "What will our lives look like in the future as these technologies advance yet further?", and in the spirit of the previous papers, I want to ask a more moral/philosophical question that is "Who is served and who is oppressed or harmed by these technologies? So… relax, pour a cup of hot tea, and I will regale "The History of the Future". It is a cold and rainy day, and you wake up from a deep and restful sleep. The first thing you decide to do is check the time. All it takes is a thought and a screen is brought before your line of vision and a series of notifications pop up. In it is the time, 7:40 AM, and today's date, June 6th, 2068. Upon this screen turning on, you hear a friendly and charismatic voice echo from within your head. This voice greets you by saying "Good morning!