{"id":7023,"date":"2023-07-14T14:56:59","date_gmt":"2023-07-14T14:56:59","guid":{"rendered":"http:\/\/www.automotive.auroralabs.com\/?p=7023"},"modified":"2023-07-14T15:01:31","modified_gmt":"2023-07-14T15:01:31","slug":"can-artificial-intelligence-solve-the-automotive-industrys-biggest-challenges","status":"publish","type":"post","link":"https:\/\/www.automotive.auroralabs.com\/ja\/can-artificial-intelligence-solve-the-automotive-industrys-biggest-challenges\/","title":{"rendered":"Can artificial intelligence solve the automotive industry’s biggest challenges?"},"content":{"rendered":"

The automotive industry is evolving at a rapid pace. Digital transformation, new revenue streams, and increasing automation and software are changing the way cars are built, bought, and driven. This means there are numerous opportunities for manufacturers and others within the industry to take advantage of.<\/span><\/p>\n

A McKinsey report predicts that revenue within the automotive industry could increase to $6.7 trillion by 2030. This leap will be driven by evolving mobility offerings, digitization, and new business models. However, that doesn’t mean there aren’t challenges ahead. Whether it’s the increasing safety requirements for autonomous driving systems, parts shortages, or changes in customer behavior, there are still bumps in the road ahead.<\/span><\/p>\n

In order to solve these challenges, many automakers are turning to artificial intelligence (AI) to work around some of these hurdles.<\/span><\/p>\n

Chip shortage<\/span><\/h2>\n

Analysts at AutoForecast Solutions<\/span><\/a> predict the chip shortage will result in automakers building around three million fewer vehicles in 2023. While we are seeing supply chain issues begin to ease, the shortage of chips is still putting strain on manufacturers.<\/span><\/p>\n

One possible solution is to reduce the NAND chip storage needed within a vehicle. Many current update solutions such as full-image or binary diff updates require dual partitions in the endpoint memory. This allows the update to write to the second partition so it can be rolled back to the previous version if it fails.<\/span><\/p>\n

This not only requires double the amount of NAND chip memory but could also have a knock-on effect on other ECUs within the vehicle. If an update fails, other areas of the vehicle might need to also roll back, something that might not always be possible.<\/span><\/p>\n

AI-powered technology, such as <\/span>Line-of-Code Intelligence updates<\/span><\/a>, can solve these challenges and reduce the amount of chip storage needed. This method of delivering software updates to the car requires fewer flash memory banks as it writes the fully executable update file to the next free space on the chip — without deleting previous versions. This takes up much less space while also giving manufacturers the ability to roll back to any previous version of the software even without a second bank of flash memory.<\/span><\/p>\n

Read more here: <\/b>Could software be the answer to the chip shortage?<\/b><\/a><\/p>\n

Safety requirements<\/span><\/h2>\n

With 94% of all road traffic incidents caused by human error, it’s no surprise the <\/span>European Commission has introduced new rules to increase safety<\/span><\/a>. These new guidelines state that all vehicles will need specific advanced driver assist systems (ADAS) in place by 2024, which means automakers need the right software and technology to comply.<\/span><\/p>\n

All vehicles will need to include:<\/span><\/p>\n