The video gives us look at how the autonomous system works from inside the cockpit, hitting a high speed of around 124 mph with no driver needed. The prototype Devbot car completed laps at multiple speed tiers, maxing out at 200 km/h, roughly 124 mph. That's just slightly slower than a standard Formula E car's top speed of about 225 kph (140 mph), and the autonomous system handled the course at a level that was just eight percent off the mark set by a competitive human driver, but it's important to note that the Devbot was running on an empty track. This is just the latest step in Roborace's development as it attempts to create the world's first autonomous racing series.
Several weeks ago McLaren announced their World's Fastest Gamer programme – an annual competition in which video gamers will compete to win a job as a simulator driver for the team. Equally this weekend the greatest sports car race in the world, the Le Mans 24 Hours, will also host the final of the third season of the Xbox-based Forza racing championship. "In professional motor sport today there is a lot of emphasis on simulator work and I can absolutely see that in the future more and more professional drivers will emerge from gaming" Mardenborough says. Like Mardenborough another British racer, Graham Carroll, moved into driving sims when the money ran out to pursue his career on the track.
At the same time, employers and employees alike will need to look at reskilling their organisations and themselves as millions of job roles become defunct in the AI revolution, agreed both Andy Campbell (Oracle's EMEA strategy director) and Alex Charraudeau (sales manager for LinkedIn). Even specialist professional expertise such as legal advice is already being provided via chatbots, Campbell said, citing the example of an online service that has a 60% success rate in winning its cases. Sponsored and organised by professional services and technical recruiter Rullion and held at LinkedIn's headquarters, the AI event featured a panel consisting of Campbell, Charraudeau, technology entrepreneur Yi Xu, David D'Souza, CIPD head of engagement and London, and Paula Barrett, partner at law firm Eversheds Sutherland. Referring to the changes AI is bringing and will bring to the workplace, D'Souza said: "The issues we're facing are definitely societal… We need to think about whether we'should' do it instead of'could' we do it."
These include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second. Roborace first revealed the stunning 4.8-metre-long (15.7 ft), two-metre-wide (6.5 ft) vehicle at March's Mobile World Congress in Barcelona. The futuristic vehicle completed a lap of the Paris ePrix circuit (pictured) ahead of the city's 2017 Formula E race, which took place on Saturday Saturday's public demonstration saw the car whip around 14 turns of the almost 2 kilometre (1.2 mile) track driven entirely by AI and sensors Mr Sverdlov said: 'This is a huge moment for Roborace as we share the Robocar with the world and take another big step in advancing driverless electric technology. Technologies guiding the vehicle include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second Mr Simon said: 'Roborace opens a new dimension where motorsport as we know it meets the unstoppable rise of artificial intelligence.
Roborace, the motorsport championship series of the future, has finally lifted the veil off of its electric driverless racing car – Robocar. With this model, the series is one step closer to its goal of holding the first global championship for driverless cars, on the same tracks as the FIA Formula E Championship. The car weighs 975 Kgs, is five meters in length and two meters in width. Each wheel in the Robocar is equipped with a 300kW motor, making it a total of four such motors, which can take the car to speeds of up to 320 kilometers per hour.
A broad cross-section of the Silicon Valley community participated in Toyota Onramp 2017, an annual event hosted by Toyota Research Institute (TRI). Four teams were recognized for their efforts and presented with awards in the following categories -- highest overall MPG, best use of machine learning, highest single lap MPG and best race strategy. The roundtable featured Chairman Uchiyamada, Dr. Gill Pratt, Dr. James Kuffner, CTO; Dr. Ryan Eustice, Vice President of Autonomous Driving; Mr. Chris Ballinger, CFO and Director of Mobility Services. About Toyota Research Institute Toyota Research Institute is a wholly owned subsidiary of Toyota Motor North America under the direction of Dr. Gill Pratt.
"This new advanced safety research vehicle is the first autonomous testing platform developed entirely by TRI, and reflects the rapid progress of our autonomous driving program," said TRI CEO Gill Pratt. The platform is the second generation of the advanced safety research vehicle revealed to the public by Toyota at the 2013 Consumer Electronics Show. "It will learn individual driver habits and abilities and will benefit from shared intelligence from other cars as data gathering, sharing and connectivity technologies advance.-- We believe Guardian can probably be deployed sooner and more widely than Chauffeur, providing high-level driver-assist features capable of helping mitigate collisions and save lives, sooner rather than later." Taking place on March 3, the Prius Challenge brings together a select group of entrepreneurs, technologists and Silicon Valley automotive enthusiasts to engage with the Toyota Research Institute while having some fun at the Sonoma Raceway.-- The goal: to increase dialogue and build a community around the topics of mobility, data science, artificial intelligence and robotics.
More than a year after the project's announcement, the pair had finally revealed their first production-grade Robocar: a fully electric, driverless race car built from the ground up for a new breed of motorsport. Up to this point, Roborace has been using development vehicles called, unsurprisingly, "DevBots." They can drive on their own, but also contain a cockpit so an engineer can sit inside and take control if required. Sverdlov hopes this knowledge will translate to road cars: If a driverless car can avoid robots racing at 200MPH, it stands a pretty good chance on the streets, or so the theory goes.
Ducati Corse Races Ahead of the Pack with Accenture and Machine Learning Intelligent MotoGP Racing Bikes Build New Aptitude for Optimal Results MOBILE WORLD CONGRESS, BARCELONA; February 27, 2017 – Ducati Corse, the racing department of Ducati Motor Holding, a world leader in sports motorcycle manufacturing, is working with Accenture (NYSE: ACN) to integrate Internet of Things (IoT) and Artificial Intelligence technologies into the testing of its MotoGP racing bikes. Ducati Corse Races Ahead of the Pack with Accenture and Machine Learning "There are 18 MotoGP tracks, and to make sure our bikes perform to their limit, we need to test as many configurations and scenarios as possible," said Luigi Dall'Igna, Ducati Corse General Manager. A screenshot of the Ducati Racing Accenture Analytics app demo, on show at Mobile World Congress Using data from up to 100 IoT sensors on the bikes and existing testing data, the Accenture solution will allow team engineers to create new perspectives by simulating and assessing bike performance under a range of conditions. From developing digital strategies to implementing digital technologies and running digital processes on their behalf, Accenture Digital helps clients leverage connected and mobile devices; extract insights from data using analytics; and enrich end-customer experiences and interactions, delivering tangible results from the virtual world and driving growth.