In this demonstration, we develop IntentRec4Maps, a system to recognise users' intentions in interactive maps for real-world navigation. IntentRec4Maps uses the Google Maps Platform as the real-world interactive map, and a very effective approach for recognising users' intentions in real-time. We showcase the recognition process of IntentRec4Maps using two different Path-Planners and a Large Language Model (LLM). GitHub: https://github.com/PeijieZ/IntentRec4Maps

Dreaming of a vacation but too much work to leave your laptop behind? This interactive map could help you find the perfect base to enjoy a workation. The map was created by TripOffice.com, which used AI to find digital-nomad-friendly hotels and vacation apartments around the world. TripOffice.com trained its AI model to spot images of remote-work-friendly rooms with ergonomic chairs, desks and monitors. A world map with over 50,000 rooms and apartments that offer a dedicated workspace.

For drivers who endure Britain's crumbling roads daily, there's no doubt we're stuck in an escalating'pothole crisis'. These dangerous holes can injure and even kill cyclists and motorists, and are popping up quicker than they can be filled. Now, interactive graphics reveal the shocking extent of the problem - and scientists think climate change is to blame. Climate organisation Round our Way reveals 952,064 potholes were reported in Britain between January and November last year, marking a five-year high. MailOnline's interactive map, based on the new data, reveals the local authorities with the most pothole reports during the period.

There's no doubt Great Britain lays claim to some of the greatest scientific discoveries and inventions that have changed the face of modern society. Now, MailOnline's interactive map reveals the birthplace of 30 of these famous British marvels, from stainless steel to the jet engine and the electric motor. Who can forget Alan Turing's Bombe machine, used to break Enigma-enciphered messages about enemy military operations during WWII? Turing developed the Bombe in 1939 at Bletchley Park in Buckinghamshire and hundreds were built, marking a crucial contribution to the war effort. Also on the map is the hovercraft invented by Christopher Cockerell in 1955 and first launched four years later on the the Isle of Wight.

Real-time flood forecasting plays a crucial role in enabling timely and effective emergency responses. However, a significant challenge lies in bridging the gap between complex numerical flood models and practical decision-making. Decision-makers often rely on experts to interpret these models for optimizing flood mitigation strategies. And the public requires complex techniques to inquiry and understand socio-cultural and institutional factors, often hinders the public's understanding of flood risks. To overcome these challenges, our study introduces an innovative solution: a customized AI Assistant powered by the GPT-4 Large Language Model. This AI Assistant is designed to facilitate effective communication between decision-makers, the general public, and flood forecasters, without the requirement of specialized knowledge. The new framework utilizes GPT-4's advanced natural language understanding and function calling capabilities to provide immediate flood alerts and respond to various flood-related inquiries. Our developed prototype integrates real-time flood warnings with flood maps and social vulnerability data. It also effectively translates complex flood zone information into actionable risk management advice. To assess its performance, we evaluated the prototype using six criteria within three main categories: relevance, error resilience, and understanding of context. Our research marks a significant step towards a more accessible and user-friendly approach in flood risk management. This study highlights the potential of advanced AI tools like GPT-4 in democratizing information and enhancing public engagement in critical social and environmental issues.

As three of the busiest modern cities around the world, it should come as no surprise that London, New York, and Paris are buzzing with traffic noise. Now, interactive maps have been developed by climate charity Possible as part of its Car Free Cities campaign, revealing just how intense this noise can be in parts of the three cities. Unsurprisingly, areas with busy roads and those near airports tend to have the highest levels of noise pollution, while areas with large parks tend to have the lowest levels. For example, in New York, noise pollution levels are highest around John F. Kennedy International Airport and LaGuardia airport, and lowest around Central Park. Speaking to MailOnline, Hirra Khan Adeogun, Head of the Car Free Cities campaign, said: 'It's well known how mass private car ownership damages the climate and contributes to toxic air.

This paper presents our research on leveraging social media Big Data and AI to support hurricane disaster emergency response. The current practice of hurricane emergency response for rescue highly relies on emergency call centres. The more recent Hurricane Harvey event reveals the limitations of the current systems. We use Hurricane Harvey and the associated Houston flooding as the motivating scenario to conduct research and develop a prototype as a proof-of-concept of using an intelligent agent as a complementary role to support emergency centres in hurricane emergency response. This intelligent agent is used to collect real-time streaming tweets during a natural disaster event, to identify tweets requesting rescue, to extract key information such as address and associated geocode, and to visualize the extracted information in an interactive map in decision supports. Our experiment shows promising outcomes and the potential application of the research in support of hurricane emergency response.

The world is living under the threat of nuclear war and a terrifying simulation reveals what would happen if a nuclear bomb went off in a major city. As well as looking at the destruction, scientists used the computer model to work out how people would behave if the worst-case scenario struck. An entire city block was obliterated instantly and buildings blasted for a mile in almost every direction. Researchers found people who did nothing were most likely to die with nearly 280,000 people killed in just 48 hours. In the dystopian-like version of The Sims, researchers simulated a nuke exploding in Washington DC (pictured).

Scientists have discovered that the range of emotions humans experience is much wider than previously thought. While it was originally thought we feel just six emotions, researchers at UC Berkeley found 27 distinct human emotions and have displayed them on an interactive map. In addition to happiness, sadness, anger, surprise, fear, and, disgust, they also determined confusion, romance, nostalgia, sexual desire, and others to be distinct emotions. The emotion map the researchers created: In addition to happiness, sadness, anger, surprise, fear, and, disgust, they also determined confusion, romance, nostalgia, sexual desire, and others to be distinct emotions. 'We wanted to shed light on the full palette of emotions that color our inner world,' lead author Alan Cowen said of the study, which was published today in Proceedings of the National Academy of Sciences.

I've been a long time user of Dublin Bikes since I came here over 5 years ago, and like many other users I have a mental model for of which stations are busy or quiet at various times of the day. My closest station is Portobello and I've found that bikes can be fairly hard to come by during mid-morning, but walking into town my chances of finding a bike would start increasing substantially. I wanted to understand this in more detail and find out if there are a handful of different behavioural types that all stations could be categorised into, and how this might vary around the city. The bikes are used mainly for commuting to and from work so it seems natural that some sort of spatial pattern would occur. As you can see from the map above it turns out that we can classify the stations into three different behavioural types and we get some pretty interesting results!