Prime Minister Donald Tusk calls the Warsaw-Lublin railway explosion an "unprecedented act of sabotage" as Poland accuses Russian intelligence of the attack.

If you had an AI Whale-to-English translator, how could you validate whether or not it is working? Does one need to interact with the animals or rely on grounded observations such as temperature? We provide theoretical and proof-of-concept experimental evidence suggesting that interaction and even observations may not be necessary for sufficiently complex languages. One may be able to evaluate translators solely by their English outputs, offering potential advantages in terms of safety, ethics, and cost. This is an instance of machine translation quality evaluation (MTQE) without any reference translations available. A key challenge is identifying ``hallucinations,'' false translations which may appear fluent and plausible. We propose using segment-by-segment translation together with the classic NLP shuffle test to evaluate translators. The idea is to translate animal communication, turn by turn, and evaluate how often the resulting translations make more sense in order than permuted. Proof-of-concept experiments on data-scarce human languages and constructed languages demonstrate the potential utility of this evaluation methodology. These human-language experiments serve solely to validate our reference-free metric under data scarcity. It is found to correlate highly with a standard evaluation based on reference translations, which are available in our experiments. We also perform a theoretical analysis suggesting that interaction may not be necessary nor efficient in the early stages of learning to translate.

The internet of things (IoT) can help prevent crime and ensure public safety. The need for gathering and processing large volumes of data makes the application of IoT in the public sector highly impactful. Governments have the responsibility of ensuring the health, safety, and prosperity of large populations, with the help of an incredibly small supply of personnel. This makes the use of IoT in enabling government functions obvious. Using IoT in the government sector can ensure the smooth functioning of routine activities and focus on long-term, demanding projects.

The scariest thing about Artificial Intelligence is that we never know who the teacher is! If you're working on a Tech Startup, AI and Machine Learning are likely parts of your roadmap (and if it's not, then it should be). Artificial Intelligence (AI) is all around us. AI is there when you search for something on the Internet. AI helps us filter spam emails.

Trains delayed by'leaves on the line' might soon be a thing of the past as an AI system is trialled to predict build ups on the line and warn of encroaching plants. The artificial intelligence studies footage of plants near the line taken from trains and attempts to spot when leaves change colour, indicating that they might fall. It can also warn of fallen trees and when vegetation growth might soon obstruct the path of trains and lead to delays. The project is one of 24 high-tech schemes that have today been funded a total of £7.8 million ($9.9 million) by the UK government to improve the nation's railways. Trains delayed by'leaves on the line' might soon be a thing of the past as an AI system is trialled to predict build ups on the line and warn of encroaching plants (stock image) Slippery rails -- commonly referred to as'leaves on the line' -- result when build ups on the track led to trains not being able to grip the rails properly.

French train engineering giant Alstom is to test automated freight trains in the Netherlands this year. The automated train prototype can travel for about 100km (60 miles) without driver intervention. Automation will free the train driver to focus on supervising the train's progress. The test's purpose is to provide a live demonstration that the train and the signal system can communicate effectively to drive the train. Alstom signed an agreement with the the Dutch infrastructure operator ProRail and Rotterdam Rail Feeding (RRF) to carry out the tests along the Betuweroute - a 150km double track freight railway line connecting Rotterdam to Germany.