Collaborating Authors

The new commute: How driverless cars, hyperloop, and drones will change our travel plans


Articles about technology and the future of transportation rarely used to get far without mentioning jetpacks: a staple of science fiction from the 1920s onwards, the jetpack became a reality in the 1960s in the shape of devices such as the Bell Rocket Belt. But despite many similar efforts, the skies over our cities remain stubbornly free of jetpack-toting commuters. For a novel form of transport to make a material difference to our lives, several key requirements must be satisfied. Obviously the new technology must work safely, and operate within an appropriate regulatory framework. But public acceptance and solid business models are also vital if a new idea is to move from R&D lab to testbed to early adoption, and eventually into mainstream usage.

Guide to autonomous vehicles: What business leaders need to know ZDNet


This ebook, based on the latest ZDNet / TechRepublic special feature, examines how driverless cars, trucks, semis, delivery vehicles, drones, and other UAVs are poised to unleash a new level of automation in the enterprise. Few technologies have been more anticipated heading into the 2020s than autonomous vehicles. Tantalizingly close and yet still perhaps decades from market adoption in some use cases, the technology is as promising as it is misunderstood. You've heard the consumer hype, but what gets less ink are the transformative changes that autonomous vehicles will bring -- in some cases already are bringing -- to the enterprise. Affecting sectors as disparate as shipping and logistics, energy, agriculture, transportation, construction, and infrastructure -- to name just a few -- it's hard to overstate the impact of the diverse and versatile set of technologies lumped into the decidedly broad category of'autonomous vehicles'. This guide will help you sort the hype from the business reality and tell you all you need to know about the autonomous vehicle revolution on the ground, in the air, and even at sea. In 1939, General Motors predicted we'd have an autonomous vehicle highway system up and running by the dawn of the 1960s. As with a lot of autonomous vehicle hype, that prediction was a tad premature, but it demonstrates the long history of autonomous vehicle development.

What is Hyperloop? Everything you need to know about the future of transport


Is Hyperloop the future of travel? This ebook, based on a special feature from ZDNet and TechRepublic, looks at emerging autonomous transport technologies and how they will affect society and the future of business. Hyperloop is a new form of ground transport currently in development by a number of companies, which could see passengers travelling at 700 miles an hour in floating pods within low-pressure tubes. There are two big differences between Hyperloop and tradition rail. The pods carrying passengers travel through tubes or tunnels from which most of the air has been removed to reduce friction. This should allow the pods to travel at up to 750 miles per hour. Rather than using wheels like a train or car, the pods are designed to float on air skis, using the same basic idea as an air hockey table, or use magnetic levitation to reduce friction.

Practical Use of A.I. in Transportation


Artificial Intelligence (AI) is a technology that fuels machines with human intelligence -- machines that have AI capabilities can automate manual tasks and learn on the go just like humans. Such automation gets repetitive and time-consuming tasks under the AI-powered systems that learn with time and can eventually carry out critical tasks and make decisions on their own. Such unique potential drove the transportation businesses to start investing into AI technology to improve revenue and stay ahead of their competitors. Transportation industry has just begun to apply AI in critical tasks however the reliability and safety in transport are still under question. Major challenges in transport like safety, capacity issues, environmental pollution, reliability etc. provide a huge opportunity for AI innovation.