A tourist coach has crashed in the south-eastern Swiss Alps, leaving several people dead and several injured, local police say. The bus overturned between Susch and Zernez in the Graubünden - also known as Grisons - region late on Thursday afternoon. A large team of rescuers equipped with several helicopters was deployed to the scene. Some 48 Dutch passengers were on board the bus, according to a spokeswoman for the General Dutch Association of Travel Companies on behalf of tour operator OAD, as well as the driver. The spokesperson told Dutch newspaper De Telegraaf they could not yet say how many people had been killed or injured.

There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for musical composition and access to large databases for commercialisation through the Internet. We are interested in further advancing this field, focusing on composition. In contrast to current black-box AI methods, we are championing an interpretable compositional outlook on generative music systems. In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat) modelling framework for Natural Language Processing (NLP), motivated by musical grammars. Quantum computing is a nascent technology, which is very likely to impact the music industry in time to come. Thus, we are pioneering a Quantum Natural Language Processing (QNLP) approach to develop a new generation of intelligent musical systems. This work follows from previous experimental implementations of DisCoCat linguistic models on quantum hardware. In this chapter, we present Quanthoven, the first proof-of-concept ever built, which (a) demonstrates that it is possible to program a quantum computer to learn to classify music that conveys different meanings and (b) illustrates how such a capability might be leveraged to develop a system to compose meaningful pieces of music. After a discussion about our current understanding of music as a communication medium and its relationship to natural language, the chapter focuses on the techniques developed to (a) encode musical compositions as quantum circuits, and (b) design a quantum classifier. The chapter ends with demonstrations of compositions created with the system.

GRAUBUNDEN, SWITZERLAND – If your job involves inputting reams of data for a company, you might want to think about retraining in a more specialized field. After industrial robots and international trade put paid to many manufacturing jobs in the West, millions of white-collar workers could now be under threat from new technology such as artificial intelligence. The issue of how best to face up to this "Fourth Industrial Revolution" has been exercising politicians and business leaders this week at the World Economic Forum in the Swiss Alpine town of Davos. The progress of AI has been "staggering" in recent years, said Vishal Sikka, chief executive of Indian IT services giant Infosys. "But in many ways we are at the beginning of this evolution and we face the prospect of leaving a larger part of humanity behind than in any other (industrial) advance," he warned.