Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2020, Continental generated sales of €37.7 billion and currently employs more than 192,000 people in 58 countries and markets. The Autonomous Mobility and Safety business area develops, produces and integrates active and passive safety technologies and controls vehicle dynamics. The product portfolio ranges from electronic and hydraulic brake and chassis control systems to sensors, advanced driver assistance systems, airbag electronics and sensors, electronic air suspension systems and cleaning systems for windscreens and headlights.

Tire manufacturers are unveiling new smart tires, complete with intelligent AI software seeking to lend a helping hand to drivers. Tire makers such as Goodyear and Bridgestone have teamed up with AI software developers to create self-detecting tires with the ability to notify drivers when they require a change. The intelligence may help mitigate potential hazards down the line. The first on-the-road testers are last-mile delivery vehicles delivering pertinent data to cloud-computing platforms to provide real-time information using intelligent AI design. The innovation is not ready to be implemented on a mass scale, but the possibilities already are being weighed by experts.

Finland is a forerunner in autonomous and remotely controlled solutions that are renewing the industrial sector, logistics and the way people move. The use of autonomous systems in various fields of society requires robust investment in competence, innovations and technology. VTT will strengthen the development of autonomous systems by founding a subsidiary VTT SenseWay Oy, focusing on such systems. The new company will seek access to the global markets from Turku, where some of the world's leading expertise in autonomous shipping systems can already be found. Autonomous systems are also making a strong entry into other transport and logistics sectors and mobile work machines, and VTT will respond to this demand with its solutions.

Dringer: in jurisdictions where autonomous vehicles are required to have a human at the wheel, and where the owner wants the car to cruise in their proximity, ringer drivers, dringers, will be hired as the "driver". The legal boundaries between jurisdictions will be marked by clusters of hired-on-demand humans, waiting to dring. A significant amplification and widespread adoption of the existing US practice of taking on additional passengers to use car-pool lanes. ConvoyAds: The coordination of autonomous vehicles by an advertising agency for the purpose of communicating lifestyle, and/or to engage pedestrians attention. As a simple example, a five car convoy, stereos tuned to the same content, windows wound down.

While much of the mainstream discussion around AI focuses on the two biggest technology players, the USA and China, other initiatives from around the world are quietly leading the way. In many ways the UK has also positioned itself as a leader in this space through the creation of the Centre for Data Ethics and Innovation and the Regulators Pioneer Fund. Canada is taking strong action on responsible AI use in government and will be the first country to implement a directive laying out the rules of applying algorithms in the public sphere. Similarly, while the US still lacks any federal laws on self-driving cars, countries like Austria and Singapore are pursuing comprehensive approaches to modernising the entirety of their transportation systems towards autonomous mobility. Such initiatives include a straightforward regulatory environment, large-scale public-private partnerships and they address a range of issues around autonomous mobility that go beyond technology-readiness levels, from infrastructural requirements to societal acceptance.

Artificial intelligence, or AI, will become an integral warfighter for the U.S. Army if the service's research arm has its way. Scientists at the Army Research Laboratory are pursuing several major goals in AI that, taken together, could revolutionize the composition of a warfighting force in the future. The result of their diverse efforts may be a battlefield densely populated by intelligent devices cooperating with their human counterparts. This AI could be self-directing sensors, intelligent munitions, smart exoskeletons and physical machines, such as autonomous robots, or virtual agents controlling networks and waging defensive and offensive cyber war. And it won't be just the virtual agents that wage direct combat. Intelligent devices will fight their counterparts on the enemy's side.

Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future. While much research has been conducted on both autonomous vehicles and mobility on demand systems, to the best of our knowledge, this is the first work that shows how to manage autonomous mobility on demand systems for better passenger experience. We introduce the Expand and Target algorithm which can be easily integrated with three different scheduling strategies for dispatching autonomous vehicles. We implement an agent-based simulation platform and empirically evaluate the proposed approaches with the New York City taxi data. Experimental results demonstrate that the algorithm significantly improve passengers' experience by reducing the average passenger waiting time by up to 29.82% and increasing the trip success rate by up to 7.65%.