Tesla: an underdog to the most powerful business mogul in the US

OSHINE TRIPURA | January 28, 2020 | 784 views



  • Tesla was officially founded in 2003 with the goal of inventing an electric car that was powerful and beautiful with zero emissions.

  • Eberhard and Tarpenning asked to meet Musk to share their idea of the electric car with him.

  • Tesla, as part of its secret to success, continues to focus on creating electric cars and making EV powertrain systems and components.


Tesla has been reigning supreme in the media spotlight since 2013 along with its CEO Elon Musk, when it unleashed its flagship car the Model S. Hailed as one of the few successful independent automakers along with being a pioneer when it comes to the electric car market, Tesla is not an overnight success (contrary to popular belief).

The origin of Tesla dates back in 1990. The company was founded in 2003 by two Silicon Valley engineers Martin Eberhard and Marc Tarpenning, who, according to the company website, “wanted to prove that electric cars could be better than gasoline-powered cars.

After a while, Eberhard and Tarpenning's bromance blossomed into a business relationship. They started doing consulting together for disk-drive companies, working from cafés with some embryonic forms of mobile computing - early cellphones, laptops, PalmPilots.
Aside from common interest, they shared a passion for starting companies, resulting in the launch of companies including NuvoMedia, which released the Rocket eBook in 1998. Then came the passion for autos when Eberhard went through a divorce and decided to buy a sports car.

Founders of Tesla meet Elon Musk

In 2001, Eberhard and Tarpenning met Elon Musk when they heard him speak at a Mars Society talk at Stanford University and introduced themselves. Luckily, Musk had a successful history of starting up companies. He along with Peter Thiel and Max Levchin were co-founders of PayPal. After making a fortune from his shares in PayPal, which he sold to eBay in 2002, musk launched another company Space X – a designer and manufacturer of advanced rockets and spacecraft.

A few years later their paths crossed again when Eberhard and Tarpenning asked to meet Musk to share their idea of the electric car with him. The three met to discuss the idea with Musk on board.

Tesla was officially founded in 2003 with the goal of inventing an electric car that was powerful and beautiful with zero emissions. Other co-founders were JB Straubel who is still the CTO at Tesla and Ian Wright who left Tesla in 2004 and founded another company Wrightspeed.

Elon Musk joins Tesla

Elon Musk has become the face of Tesla and is at times mistaken as the company’s founder or co-founder. Musk is a South African-born Canadian-American who was trained as an engineer. He earned a dual bachelor of science in Physics and Economics from the University of Pennsylvania.

Elon Musk is an entrepreneur and inventor at heart. In 1995, Musk enrolled in Stanford's Applied Physics Ph D program but dropped out in order to focus on his business efforts in the renewable energy and outer space arena.

With his early fortune from PayPal, Musk founded his third company SpaceX, an outer-space exploration company. After a meeting and pitch with Eberhard and Tarpenning, Musk came on board Tesla as the chair of the company’s board of directors, and played a key role in helping the company raise money. The company’s investors included friends and family, and a litany of VC firms including Valor Equity Partners.

“When a true genius appears in the world, you may know him by this sign, that the dunces are all in confederacy against him.”

– Enrique Dans, Leadership Strategy, Forbes


In the years between 2004 and 2008, Tesla continued to grow and develop its first automobile, The Roadster. The company opened its manufacturing plant in Fremont, CA, a 5.5 million square feet factory that used to be owned by Toyota and General Motors. The factory is known as Nummi which includes two paint facilities, a 1.5 miles of assembly lines.

Musk became the company’s CEO in 2008 and product architect, positions he still holds. That same year Tesla launched its first car and sports car the Roadster. "It is not just a car, but one of the strongest automotive statements on the road,” Car and Driver wrote. The Executive Summary for The Roadster reveals that the company has always been focused on the mechanics of the car as much as the design. “High performance” as defined in the executive summary included going from 0-60mph in less than 3.9 seconds, and zero maintenance for up to 100,000 miles other than tires.

Learn more:- ELON MUSK’S SYMBIOTIC MARKETING INTELLIGENCE

Tesla’s Success

Tesla, as part of its secret to success, continues to focus on creating electric cars and making EV powertrain systems and components. The company has a network of 80 stores and galleries across North America, Europe and Asia and over 100 charging stations in the US.
One of the company’s key to success has been focusing on one product at a time. And while Tesla continues to focus on making the Model S, it’s rolling out new models in an effort to expand its customer base. New models in the pipeline include the Model X SUV, which started production in early 2015.

In order to move with the changing times, Tesla has tried to launch new product that aim to target a wider range of consumers. In the pipeline is also the Model E a cheaper version of the Model S, which will come in at under $40,000.

“The cars nonetheless did a perfect service. From the audience perspective they didn't have a problem. Anybody who got into one of those cars had their opinion of electric cars instantly changed.”

- Martin Eberhard


In an effort to stay competitive in the niche market, Tesla Motors has expanded its manufacturing footprint in The Netherlands and Lathrop, California. To keep costs down on lithium ion battery packs, Tesla and key strategic partners including Panasonic started building a gigafactory in Nevada that will facilitate the production of a mass-market affordable vehicle, Model 3, according to the company’s website.

The electric car market is growing with luxury auto makers such as Mercedes Benz and BMW jumping into the space too. Analysts forecast that the total global sales of electric vehicles was 320,000 units in 2014, which is on pace to easily exceed 500,000 in 2015. That said, Tesla’s long term success is anyone’s guess. Tesla is aiming to selling 500,000 cars by 2020 but in December 2014, Morgan Stanley’s auto analyst Adam Jonas predicted that the company would fall short by 40%. Jonas has reportedly said that the goal is unrealistic and unachievable.

Learn more: - Tesla's success proves that what America needs is business, business, and more business

Conclusion

Since its inception, Tesla Motors has continuously grown and transitioned from a start-up to an established key industry player. Perhaps, what remains the same is its extraordinary story and how it paved the way for electronic cars and became a pioneer in the automotive industry.

Spotlight

Cloudnexa

Cloudnexa helps companies who want to realize the full utility power of cloud computing. With proven expertise in design, deployment and management of scalable, secure cloud infrastructures, Cloudnexa provides the necessary value added services and expertise customers need to realize the true cost savings and technical value proposition of the cloud. With no upfront cost, and no long term contracts, Cloudnexa’s Cloud Management as a Service (CMaaS) offering is unmatched by the competition and allows customers to only pay for services once they are consuming cloud.

OTHER ARTICLES
SOFTWARE

8 Epic App Innovations that Help Your Business Stand Out

Article | July 13, 2022

Contents 1. The Market for Mobile Application Development 2. Innovations in Mobile Application Development 2.1 In-App Paid Features: Android and iOS Development 2.2 Augmented and Virtual Reality 2.3 Beacon Technology 2.4 Al and Ml 2.5 Wearables 2.6 Predictive Analytics 2.7 Blockchain Technology 2.8 On-Demand Applications 3. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: 4. Tying Everything Together Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. 1. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. 2. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. 2.1 In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. 2.2 Augmented and Virtual Reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. 2.3 Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. 2.4 Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. 2.5 Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. 2.6 Predictive Analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. 2.7 Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. 2.8 On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the software development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. 3. Long-Term Benefits of Mobile App Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers Offer 24/7 access to your business Get excellent customer insights Efficiently market your product online Save on additional marketing costs Boost employee efficiency by increasing engagement Improve communication shreds down the busy work and Streamline the data Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. 4. Tying Everything Together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

Read More
FUTURE TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | July 14, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

Read More
FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

Article | July 26, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

Read More

The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

Read More

Spotlight

Cloudnexa

Cloudnexa helps companies who want to realize the full utility power of cloud computing. With proven expertise in design, deployment and management of scalable, secure cloud infrastructures, Cloudnexa provides the necessary value added services and expertise customers need to realize the true cost savings and technical value proposition of the cloud. With no upfront cost, and no long term contracts, Cloudnexa’s Cloud Management as a Service (CMaaS) offering is unmatched by the competition and allows customers to only pay for services once they are consuming cloud.

Related News

"Phantom" Images on the road haunt Tesla's Autopilot Systems

Tesla | February 04, 2020

Researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign and trick systems into believing that they are legitimate. On the scale of level 0 (no automation) to level 5 (full automation), these autopilot systems are considered “level 2” automation. Configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue. Research has shown that a two-dimensional image of a person projected on a Tesla Model X's autopilot system caused it to slow down. The autopilot system, which is also used by other popular cars, confused it for a real physical being. Phantom Images explained.. The research has found that these autopilot systems can be fooled into detecting fake images, projected by drones on the road or surrounding billboards. It has warned that this flaw can prove fatal as attackers could misuse this system flaw to trigger the systems to brake or steer cars into oncoming traffic lanes. Similarly, projecting fake lane lines also leads the Model X to temporarily ignore the road's physical lane lines. The crossover of fake and real lane lines would follow the artificial lane markers into the wrong traffic lane, as the projections were brighter than the real-life markers. “When projecting images on vertical surfaces (as we did in the case with the drone) the projection is very simple and does not require any specific effort. When projecting images on horizontal surfaces (e.g., the man projected on the road), we had to morph the image so it will look straight by the car’s camera since we projected the image from the side of the road. We also brightened the image in order to make it more detectable since a real road does not reflect light so well.” - Ben Nassi, Researcher, Ben-Gurion University of the Negev The advanced driving assistance systems (ADAS), which are used by semi-autonomous vehicles to help the vehicle driver while driving or parking are the origins of this issue. ADAS systems are designed to increase driver safety by detecting and reacting to obstacles on the road. However, researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign; use a projector to transmit the phantom within the autopilots’ range of detection; and trick systems into believing that they are legitimate. “The absence of deployed vehicular communication systems, which prevents the advanced driving assistance systems (ADASs) and autopilots of semi/fully autonomous cars to validate their virtual perception regarding the physical environment surrounding the car with a third party, has been exploited in various attacks suggested by researchers.” - Research Team, Ben-Gurion University of the Negev. The researchers also showed how Tesla Model X can be caused to brake suddenly by projecting a phantom image, perceived as a person, in front of the car. Mobileye's 630 Pro technology also proved easily confused by projected imagery. Notably, Mobileye's traffic sign recognition system was fooled into relaying incorrect speed limit information to the driver due to its inability to distinguish between projected and physical speed limit signage. READ MORE: TESLA: AN UNDERDOG TO THE MOST POWERFUL BUSINESS MOGUL IN THE US What does Tesla have to say? Of course, they were not available to comment. The researchers, though said that they are in touch with both Tesla and Mobileye regarding the issue. Mobileye has said, that the phantom attacks did not stem from an actual vulnerability in the system, researchers revealed. On the other hand, Tesla told the researchers, “We cannot provide any comment on the sort of behavior you would experience after doing manual modifications to the internal configuration – or any other characteristic, or physical part for that matter – of your vehicle.” The research has responded saying, that they did not influence the behavior that led the car to steer into the lane of oncoming traffic or suddenly put on the brakes after detecting a phantom. They have excluded this demonstration from the research paper, as Tesla’s stop sign recognition system is experimental and is not considered a deployed functionality. The research team has suggested that configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue as it would provide better detection around phantom images. READ MORE: TESLA'S DISRUPTIVE SUCCESS IN COMPETITIVE CAR-MAKING AND HOW IT CAN AIRLIFT BOEING Truth be told.. The research findings are disturbing. On the scale of level 0 (no automation) to level 5 (full automation), these two systems are considered “level 2” automation. It is a clear indication that semi-autonomous autopilot systems still require human intervention. Though the phantom attacks are not security vulnerabilities, researchers have said that they reflect a fundamental flaw of models that detect objects that were not trained to distinguish between real and fake objects. Connected cars have been the target of hackers for a long time. Vehicle-related attacks have stemmed from keyless entry systems to in-vehicle infotainment systems. This study confirms that autopilot systems and other advanced driver-assist features are here to make the driving experience safer, but do not replace the act of driving or human interference altogether.

Read More

Video showcases Tesla’s Autopilot software preventing an accident

July 25, 2016

esla’s Autopilot software has been in the news quite a bit lately, albeit for all the wrong reasons. When word broke that a Model S with Autopilot engaged was involved.

Read More

Tesla’s Autopilot software will remain in beta until it logs a billion miles

July 11, 2016

When Tesla’s Autopilot software works well, it’s truly a remarkable experience and a prime example of advanced technology fundamentally changing the way we live.

Read More

"Phantom" Images on the road haunt Tesla's Autopilot Systems

Tesla | February 04, 2020

Researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign and trick systems into believing that they are legitimate. On the scale of level 0 (no automation) to level 5 (full automation), these autopilot systems are considered “level 2” automation. Configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue. Research has shown that a two-dimensional image of a person projected on a Tesla Model X's autopilot system caused it to slow down. The autopilot system, which is also used by other popular cars, confused it for a real physical being. Phantom Images explained.. The research has found that these autopilot systems can be fooled into detecting fake images, projected by drones on the road or surrounding billboards. It has warned that this flaw can prove fatal as attackers could misuse this system flaw to trigger the systems to brake or steer cars into oncoming traffic lanes. Similarly, projecting fake lane lines also leads the Model X to temporarily ignore the road's physical lane lines. The crossover of fake and real lane lines would follow the artificial lane markers into the wrong traffic lane, as the projections were brighter than the real-life markers. “When projecting images on vertical surfaces (as we did in the case with the drone) the projection is very simple and does not require any specific effort. When projecting images on horizontal surfaces (e.g., the man projected on the road), we had to morph the image so it will look straight by the car’s camera since we projected the image from the side of the road. We also brightened the image in order to make it more detectable since a real road does not reflect light so well.” - Ben Nassi, Researcher, Ben-Gurion University of the Negev The advanced driving assistance systems (ADAS), which are used by semi-autonomous vehicles to help the vehicle driver while driving or parking are the origins of this issue. ADAS systems are designed to increase driver safety by detecting and reacting to obstacles on the road. However, researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign; use a projector to transmit the phantom within the autopilots’ range of detection; and trick systems into believing that they are legitimate. “The absence of deployed vehicular communication systems, which prevents the advanced driving assistance systems (ADASs) and autopilots of semi/fully autonomous cars to validate their virtual perception regarding the physical environment surrounding the car with a third party, has been exploited in various attacks suggested by researchers.” - Research Team, Ben-Gurion University of the Negev. The researchers also showed how Tesla Model X can be caused to brake suddenly by projecting a phantom image, perceived as a person, in front of the car. Mobileye's 630 Pro technology also proved easily confused by projected imagery. Notably, Mobileye's traffic sign recognition system was fooled into relaying incorrect speed limit information to the driver due to its inability to distinguish between projected and physical speed limit signage. READ MORE: TESLA: AN UNDERDOG TO THE MOST POWERFUL BUSINESS MOGUL IN THE US What does Tesla have to say? Of course, they were not available to comment. The researchers, though said that they are in touch with both Tesla and Mobileye regarding the issue. Mobileye has said, that the phantom attacks did not stem from an actual vulnerability in the system, researchers revealed. On the other hand, Tesla told the researchers, “We cannot provide any comment on the sort of behavior you would experience after doing manual modifications to the internal configuration – or any other characteristic, or physical part for that matter – of your vehicle.” The research has responded saying, that they did not influence the behavior that led the car to steer into the lane of oncoming traffic or suddenly put on the brakes after detecting a phantom. They have excluded this demonstration from the research paper, as Tesla’s stop sign recognition system is experimental and is not considered a deployed functionality. The research team has suggested that configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue as it would provide better detection around phantom images. READ MORE: TESLA'S DISRUPTIVE SUCCESS IN COMPETITIVE CAR-MAKING AND HOW IT CAN AIRLIFT BOEING Truth be told.. The research findings are disturbing. On the scale of level 0 (no automation) to level 5 (full automation), these two systems are considered “level 2” automation. It is a clear indication that semi-autonomous autopilot systems still require human intervention. Though the phantom attacks are not security vulnerabilities, researchers have said that they reflect a fundamental flaw of models that detect objects that were not trained to distinguish between real and fake objects. Connected cars have been the target of hackers for a long time. Vehicle-related attacks have stemmed from keyless entry systems to in-vehicle infotainment systems. This study confirms that autopilot systems and other advanced driver-assist features are here to make the driving experience safer, but do not replace the act of driving or human interference altogether.

Read More

Video showcases Tesla’s Autopilot software preventing an accident

July 25, 2016

esla’s Autopilot software has been in the news quite a bit lately, albeit for all the wrong reasons. When word broke that a Model S with Autopilot engaged was involved.

Read More

Tesla’s Autopilot software will remain in beta until it logs a billion miles

July 11, 2016

When Tesla’s Autopilot software works well, it’s truly a remarkable experience and a prime example of advanced technology fundamentally changing the way we live.

Read More

Events