Infiniti recently announced plans to create a new platform for electrified vehicles and now the automaker has revealed additional information about it. Automotive News reports the platform will eventually underpin all future Infiniti models except the QX80 . The platform will also be unique to Infiniti and only "select components" will be shared with Nissan. As previously announced, the platform has been designed to accommodate electric powertrains as well as e-POWER systems. Vehicles with the latter powertrain will have an electric motor, a battery and a range-extending petrol engine.
Volkswagen has grand expectations for the platform underpinning its first purpose-built electric cars. The VW Auto Group plans to sell 10 million EVs based on its modular electric drive matrix (MEB) across all its brands during the "first wave." It hopes to have sold 150,000 electric cars in total by 2020, 100,000 of which will be 100,000 I.D. models produced in Germany. As with Tesla and other brands making EVs from scratch, the MEB platform is designed explicitly with electric power in mind. The floorpan is designed to house a flat, high-capacity battery that simultaneously improves handling (by lowering the center of gravity) and space.
According to VW, it'll let you "control and monitor smart devices in their homes -- such as lights, security systems and domestic appliances -- from out on the road." While useful, that's functionality consumers also access on their phones, so it'll be interesting to see how LG and VW make their platform significantly better. The platform will also deliver a "context-sensitive notification center" that'll send messages to drivers safely. LG already provides batteries and audio systems to VW's cars, as Reuters points out, and it's building battery cells and the electronic motor for Chevy's Bolt electric car.
AT&T wants to make artificial intelligence accessible to everyone. To that end, they're collaborating with Tech Mahindra to build an open source artificial intelligence platform, Acumos, hosted by The Linux Foundation that makes it easy to build, share and deploy AI applications. The platform will provide a marketplace for accessing, using and enhancing those applications. Content curation, autonomous cars, drones, and augmented reality/virtual reality are many areas where AI models could be used with the Acumos platform. The Acumos platform is an extensible framework for machine learning solutions.
According to a study conducted by IBM, the automotive industry will offer a greater personalized driving experience by 2025. Of the executives surveyed by IBM, 80% felt that in-vehicle cognitive technologies will be a key component of how vehicles learn to provide a better experience for the occupants and optimize their own performance. On an average, people in the U.S spend 46 minutes in their car per day and GM is looking at ways to optimize this time spent through OnStar Go. The platform can also learn driver's preferences, apply machine learning and sift through data to recognize patterns in their decisions and habits. This information can create several marketing opportunities for GM's brand partners in this platform.