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automotive industry


Unity, Elektrobit Team Up to Build Autonomous Car UI Platform

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Videogames and reality are merging as Unity, the company behind one of the world's leading videogame development platforms, teams up with Elektrobit, a global supplier of connected software products for the automotive industry. The goal of the collaboration is to streamline the process of designing and developing automotive human-machine interfaces (HMIs) with state-of-the-art real-time rendering capabilities. With the predicted revolution of autonomous vehicles seemingly just around the corner, user interface experience may well become the main differentiating factor over drivability for future vehicle owners. As a press release on PRNewswire explains, "the growing prevalence of high-performance computing platforms in cars and the increasing sizes and numbers of displays in vehicles are driving demand for more real-time and photorealistic 3D experiences, both for improved usability and enhanced customer delight." By combining their expertise, Elektrobit, and Unity aim to make it easier for near-future carmakers to develop next-gen real-time HMIs for vehicles that will drive the future of the automotive industry.


Why Voice Tech is the Future of the Automotive Industry

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Car manufacturers are catching on the new tech wave. After the pandemic hit and social-distancing became our new normal, a personal vehicle became one of the safest ways to travel -- with proper sanitation, of course. And as we're all moving to a touchless future, the automotive industry is no exception. According to the study by Voicebot.ai While analysts from Frost & Sullivan predict that the importance of digital voice assistants in automotive branding will increasingly grow. We believe that in the next few years, voice technology will become one of the key drivers transforming the automotive industry.


Predictive maintenance and decision support systems in heavy industry

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Digital transformation is one of the top priorities for industrial companies. The largest players are already moving in this direction, for many years continuously working to improve production efficiency and launching large-scale optimisation programs. They're called advanced analytics or digital innovation, and at their core, the technology could be summarised under artificial intelligence. In all cases, the efforts to utilise AI models or data analytics systems are part of a bigger digital transformation effort of the progressing companies. In an industrial context, such strategies for cost-saving and process optimisation often start from pilot projects, or top management directives for digital change guide them. In general, changes in processes or investments in capital-intensive and competitive industries require large sums of money. Traditional capital expenditures usually stretch over a long period, so a current financial standing may not allow for a complete physical overhaul of the plants or facilities. These high costs lead to the search for cheaper alternatives.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles

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Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles · Wall Street Call

#artificialintelligence

Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


Autonomous Vehicle Safety

Communications of the ACM

Jaynarayan H. Lala (jay.lala@rtx.com) is a Senior Principal Engineering Fellow at Raytheon Technologies, San Diego, CA, USA. Carl E. Landwehr (carl.landwehr@gmail.com) is a Research Scientist at George Washington University and a Visiting Professor at University of Michigan, Ann Arbor, MI, USA. John F. Meyer (jfm@umich.edu) is a Professor Emeritus of Computer Science and Engineering at University of Michigan, Ann Arbor, MI, USA. This Viewpoint is derived from material produced as part of the Intelligent Vehicle Dependability and Security (IVDS) project of IFIP Working Group 10.4.


Artificial Intelligence and the Motor Industry: The 300,000 Lease Rates AI Must Calculate Each Day

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Poland is fast becoming a worldwide innovation hub for AI solutions that are being applied to the car rental market. This innovation brings with it many changes to the marketplace, including job creation and upskilling in information technology. Visitors to the Carsmile online platform illicit over 300,000 hire purchase calculations a day. If brokers were to make those same calculations in lieu of an intelligent algorithm, the start-up would have to employ a minimum of 2000 people simply to perform this function. 


AI & Automotive -- 5 Disruptive Use-Cases

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A driverless car running on the road is like a screenshot from a sci-fi movie. However, fiction is becoming a reality, and thanks to #Artificial Intelligence (AI). AI technology complements the concept of self-driving cars. Elon Musk had in 2017 that all cars will be #autonomous in 10 years without any steering wheel. We are very close to bringing this estimate to reality in just 4 years.


A new study measures the actual impact of robots on jobs. It's significant.

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Machines replacing humans in the workplace has been a perpetual concern since the Industrial Revolution, and an increasing topic of discussion with the rise of automation in the last few decades. But so far hype has outweighed information about how automation -- particularly robots, which do not need humans to operate -- actually affects employment and wages. The recently-published paper "Robots and Jobs: Evidence from U.S. Labor Markets" by MIT professorDaron Acemoglu and Boston University professor Pascual Restrepo, PhD '16, finds that industrial robots do have a negative impact on workers. The researchers found that for every robot added per 1,000 workers in the U.S., wages decline by .42% and the employment-to-population ratio goes down by .2 The impact is more sizable within the areas where robots are deployed: adding one more robot in a commuting zone (geographic areas used for economic analysis) reduces employment by six workers in that area.


The Automotive Industry And The Data Driven Approach

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Though often overlooked, cars serve as a rich data source. Millions of transportation vehicles whizz past us on a regular basis, each of which generate swaths of useful information that automakers are now figuring out how to monetize. Some of the biggest passenger car automakers have more than 10 million vehicles' worth of data sitting in their data repositories. Failure to tap into these vast data stores amounts to lost value-added for customers, lost safety opportunities and lost revenue and business intelligence. According to a McKinsey Report, "The overall revenue pool from car data monetization at a global scale might add up to USD 450 - 750 billion by 2030." In addition, according to a market analysis report on the Automotive Cyber Security Market, "The global automotive cyber security market size was valued at USD 1.44 billion in 2018 and is expected to grow at a compound annual growth rate (CAGR) of 21.4% from 2019 to 2025."