The bike provides impressive ease of use to go with its high performance and visceral engine character. Breakthroughs, discoveries, and DIY tips sent every weekday. Ducati's new low-slung 168-horsepower muscle bike is meant to appeal to sport bike riders who have tired of the racer-crouch riding position but still want a sophisticated and powerful ride. Chinnock's not just the CEO; he's also put in his miles on the race-replica bikes that build Ducati's reputation for performance. The XDiavel V4's 1,158cc four-cylinder engine is the bike's centerpiece, both visually and technically.

Breakthroughs, discoveries, and DIY tips sent every weekday. MotoGP is high-speed, high-tech motorcycle racing. The fastest riders in the world compete on specialized, purpose-built motorcycles from companies like Ducati, Honda, Yamaha on the world stage in this series, which is considered the most prestigious in the game. Riders reach incredible speeds on their machines up to 220 miles per hour, and races can go 350 turns with gravity-defying leaning that scrapes elbows and knees. This Grand Prix is for the toughest of the tough on the moto circuit.

Motorbikes have come on leaps and bounds in the last five years. At this point, Motorcycle AI is a high contender for the next big innovation for futuristic motorcycles. Self-learning technology is already a huge part of our lives. Industries such as healthcare and e-commerce greatly benefit from this technology – and the motorcycle industry is no exception. Thanks to machine learning, electric motorcycles can now learn and adapt to each individual rider to improve the riding experience with every journey.

The Internet of Things might be the next big thing for our homes, but it's beginning to play a bigger role in motorsport too. After announcing an IoT-based partnership with Williams earlier this year, Accenture has now announced it will be helping the Ducati MotoGP team develop its 2017 challenger and hopefully return the team to winning ways. Accenture's latest project involves two of the most important parts of vehicle development – simulations and data collection – and combines them both to make R&D an even faster, more intuitive process. During testing at least, bikes have around 100 IoT sensors onboard, measuring everything from tyre temperature to oil pressure and much more, and after each run, engineers must sift through the numbers, and work out what to do next. Simply put, Accenture's Integrated Machine Learning software essentially works by learning real-world data, and then producing its own educated predictions. That way, the Ducati team can roughly predict what will work and what won't work on their bike, meaning they can always take the right direction in setup and development – without wasting precious track time.