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'Robotaxis' roaming around Yokohama are winning over unlikely fans

The Japan Times

Nissan Motor Co. is carrying out Japan's largest demonstration to date of autonomous vehicles in Yokohama as the automaker moves toward rolling out a commercial automated service. Although regulations and the need for further technology improvements mean a full-scale launch is still some years away, Nissan has been testing the self-driving taxi service in Yokohama, near its corporate headquarters. Passengers can book rides via a smartphone app that covers some 650 routes and embark and disembark from 23 points around the city. For now, the autonomous taxis have operators sitting ready to take over in case the vehicles' various sensors encounter a situation that requires human assistance. The goal is to eventually have such "safety drivers" monitor a fleet of such taxis remotely.


Trends To Watch In 5G Connected Vehicles

#artificialintelligence

We all know 5G networks are here. Although autonomous vehicles are getting a substantial amount of attention, it is actually the technology that connects through fast speed and low latency cellular technology that is rapidly changing this industry with connected cars. As vehicles continue to advance, they are becoming more defined, automated, and electrified. In-vehicle connectivity is now thought to be a requirement from the outset. This transition to connected vehicles, that are intelligent, is certainly here and the smartphone will act as a personal assistant, providing music, the latest reports, and also maps that are needed.


Autonomous driving startup Deeproute.ai prices L4 solution at $10,000 – TechCrunch

#artificialintelligence

Deeproute.ai, an autonomous vehicle startup with offices in Shenzhen and Fremont, California, unveiled an ambitious self-driving solution on Wednesday. The package, named DeepRoute-Driver 2.0, is a production-ready Level 4 system that costs approximately $10,000. The price tag is incredible given the hardware used: five solid-state lidar sensors, eight cameras, a proprietary computing system, and an optional millimeter-wave radar. Lidar accounts for roughly half of the total cost, a Deeproute spokesperson told TechCrunch. "As the whole supply chain is getting more developed and scale[s] up, we can expect the cost can go further down."


Stellantis' AI strategy targets $22.6b in revenues by 2030

#artificialintelligence

Carmaker Stellantis announced a strategy Tuesday to embed AI-enabled software in 34 million vehicles across its 14 brands targeting 20 billion euros ($22.6 billion) in annual revenues by 2030. CEO Carlos Tavares heralded the move as part of a strategy that would transform the car company into a "sustainable mobility tech company," with business growth coming from over-the-air features and services. It includes key partnerships with BMW on autonomous driving, iPhone manufacturer Foxconn on customized cockpits and Waymo to expand their autonomous driving partnership into a light commercial vehicle delivery fleets. Stellantis' embrace of AI and expansion of software-enabled vehicles is part of a broad transformation in the auto industry, with a race toward more fully electric and hybrid powertrains, more autonomous driving features and increased connectivity in automobiles. Stellantis, which was formed from the combination of PSA Peugeot and FCA Fiat, said the software integration would seamlessly integrate into customers lives, with the capability of live updates providing upgraded services over time.


10 AI Innovations that are Transforming the Automobile Industry

#artificialintelligence

The industry utilizes 3D printers for creating automotive prototypes to check fitness, making aesthetically pleasant parts, designing efficient car models, and many more. One of the important technologies behind 3D printers is Fused Filament Fabrication (FFF) that is used for the production as well as end-use parts in the automobile industry. Smart Helmets: Smart helmets are one of the most important AI innovation in this industry for the safety of drivers. Smart helmets are completely different from traditional helmets for the implementation of GSM and GPS technologies. Drivers are inclined towards smart helmets owing to its advanced technology to call an ambulance or a family member post-accident, the presence of operation vibration sensors, alcohol sensors, crash alerts, LED lights, and many more.


AI Inside: how AI is shaping "softwarisation"

#artificialintelligence

The "softwarisation" of our economies continues unabated since Marc Andreessen note 2011 "Why software is eating the world" interview with the Wall Street Journal. But beyond this recurring trend, we, at FortinoCapital, have also noticed that changes are underway that may further shape business environment, and reinforce our strategy to double down on software -based start ups. The first change is that along hardware losing ground to software, more complex software now leads to a radical simplification trend in hardware. Tesla is a case in point- the revolution in the car industry is the shift towards smart mobility platform. But the new car hardware models are radically changing shape, from more than 50 in most traditional cars to just four components in the new Telsa models.


Global Big Data Conference

#artificialintelligence

Amazon Web Services has launched a new cloud-based data service that could help auto makers remotely diagnose issues in their vehicles to prevent recalls and improve safety, as well as manage related data, the company told Reuters. Called AWS IoT FleetWise, the latest tool in the company's newly branded AWS for Automotive portfolio of products and services for the transportation industry is being rolled out on Tuesday at Amazon.com's annual re:Invent conference in Las Vegas. FleetWise enables customers, including auto suppliers and transportation providers such as Lyft and Uber, to collect, organize and transfer vehicle data to the cloud, while standardizing different data formats to simplify data analysis, according to Mike Tzamaloukas, general manager of AWS for Automotive. "As vehicles become more intelligent and advanced, the sheer amount of data produced from vehicles equipped with cameras, lidars and radars is growing exponentially," Tzamaloukas said in an interview. FleetWise was developed to allow customers "to easily access fragmented data across the different fleet models and vehicle types," he added.


Google Cloud BrandVoice: Reimagining Your Customer Experience With Conversational AI

#artificialintelligence

How conversational AI has evolved, and why it is rapidly redefining how customers interact with businesses. Imagine if customers could talk to a business whenever they need something, not just during working hours, not just when a human is available, and not just through protracted processes. People have conversations in person or via text, phone, video chats--the obstacles have never been lower. But when it comes to interacting with a business, points of friction are more numerous, with customers often forced to peruse bespoke websites and apps, deal with phone trees, wait for email responses, or accommodate the limited availability of human staff during business hours. That needn't be the case: it's time for organizations to reevaluate the role of conversational AI in customer experiences.


AWS to help auto makers remotely diagnose issues

Al Jazeera

Amazon Web Services has launched a new cloud-based data service that could help auto makers remotely diagnose issues in their vehicles to prevent recalls and improve safety, as well as manage related data, the company told Reuters. Called AWS IoT FleetWise, the latest tool in the company's newly branded AWS for Automotive portfolio of products and services for the transportation industry is being rolled out on Tuesday at Amazon.com's annual re:Invent conference in Las Vegas. FleetWise enables customers, including auto suppliers and transportation providers such as Lyft and Uber, to collect, organize and transfer vehicle data to the cloud, while standardizing different data formats to simplify data analysis, according to Mike Tzamaloukas, general manager of AWS for Automotive. "As vehicles become more intelligent and advanced, the sheer amount of data produced from vehicles equipped with cameras, lidars and radars is growing exponentially," Tzamaloukas said in an interview. FleetWise was developed to allow customers "to easily access fragmented data across the different fleet models and vehicle types," he added.


Nissan to invest $17.6 billion in EV development over the next five years

Engadget

Nissan will invest 2 trillion yen ($17.6 billion) over the next five years developing new EVs and battery technology as part of a grand plan it calls "Ambition 2030," the company announced. It aims to release 15 new EVs total by 2030, with electrified vehicles making up half its vehicle lineup at that point. The automaker said it will develop 23 electrified vehicles in total over the next eight years, with 20 of those coming in the next five years alone. It's shooting for a market mix of 75 percent electrified (EV and e-Power PHEV/hybrids) in Europe, 55 percent in Japan and 40 percent in the US and China by 2030. The other part of that mix, would presumably be internal combustion engine (ICE) vehicles. It's worth noting that in early 2021, Nissan said that it planned to electrify every all-new car it launches by the early 2030s.