Mobile artificial intelligence is disrupting the already breakneck-paced mobile app development game. In 2020, the mobile AI sector reached a valuation of 2.14 billion dollars, and that number is expected to grow 4.5x by the year 2026. It's safe to say that mobile artificial intelligence is here to stay, so let's find out how this innovative technology is used in mobile app development. Mobile artificial intelligence aims at making mobile technology smarter and more functional for users. A well-known example of the power of mobile AI is Amazon's Alexa Shopping product, which has freed up countless hours of customer support grunt work for Amazon.
It's a scenario movies and sci-fi stories have predicted for years: an intelligent fleet of human-serving AI robots become too smart and take over the world. This common storyline has some people worried it will come to real-world fruition -- thanks to technological developments in artificial intelligence and robotics. For many others, though, applying intelligence to robotics is all about furthering innovation. And innovation there has been. Robotics dates back to 1898, when Nikola Tesla used radio waves to remotely direct the movement of a robot boat in a miniature man-made pond during an electrical exhibition at Madison Square Garden in New York. That experiment led to Tesla becoming the father of robotics.
British startup Wayve said on Wednesday it will use supercomputer infrastructure designed for the firm by its investor Microsoft to process vast amounts of data as it develops machine learning-based models for self-driving cars. Wayve's technology relies on machine learning using camera sensors fitted on the outside of the vehicle, where the system learns from traffic patterns and the behaviour of other drivers, instead of the conventional method of relying on detailed digital maps and coding to tell vehicles how to operate. "Microsoft is providing supercomputing muscle," Wayve Chief Executive Alex Kendall told Reuters. "What we're looking to do goes beyond the bounds of what's possible for commercial cloud offerings today." Kendall said Microsoft will be able to process the terabyte of data - 1 trillion bytes, or equivalent to around an hour of consumer video - that Wayve's cars generate every minute.
Hyundai will allocate an additional $5 billion toward investments in the US, the automaker announced on Sunday. The funds will support the company's work in electric vehicles, robotics, air taxis, self-driving cars and artificial intelligence. The announcement follows the recent news that Hyundai plans to build a $5.54 billion electric vehicle plant in Georgia. With that facility included, the automaker intends to invest $10 billion in the US by 2025. Some of the money will go toward supporting Boston Dynamics, which Hyundai acquired in 2021.
Tesla's founder Elon Musk said back in 2013: Self-driving cars are the natural extension of active safety and obviously something we think we should do. Fully-autonomous vehicles (AV) are no longer a technology of the future. Established and emerging manufacturers have embarked on a journey to produce the most reliable driverless cars to compete in a growing market. But people still don't trust AVs are safe, despite potential benefits of fuel efficiency, reduced emissions and improve mobility. We study the power of brands. Our research found companies can take advantage of their brand reputation to encourage consumers to adopt driverless cars.
At BlackBerry's analyst summit this week, a great deal of time was spent on the company's secure QNX operating system, its IVY platform for software management on cars, and other tools and utilities designed for the next generation of personal transportation. This conversation can't happen soon enough. A growing concern of mine is that automobile companies don't yet seem to fully understand the risk they are taking with platforms that aren't secure enough for products tied to human transportation and safety. Having someone hack your phone or PC is bad, but having someone hack your car could be deadly. So when the industry is talking about putting apps in cars, safety and security should be a far higher priority for many of the automotive OEMs than it seems to be.
A recent Valeo test vehicle in Tokyo demonstrated how Scala lidars and a front camera, combined with vehicle-to-infrastructure communication, could autonomously steer through crowded boulevards, thread between lumbering trucks and zipping passenger vehicles, while navigating pedestrians. The system is Level 4-capable but operates in Level 2 mode during public testing, with a Valeo engineer always at the ready to take control. The self-driving system had its faltering moments, usually while negotiating scenarios that require bending traffic rules -- such as leaving a lane to go around idling trucks or bicyclists. And the steering and braking aren't always as smooth as would be done with a human touch. Valeo engineers say that coming versions will better address such borderline scenarios.
Hundreds of billions in public and private capital is being invested in Artificial Intelligence (AI) and Machine Learning companies. The number of patents filed in 2021 is more than 30 times higher than in 2015 as companies and countries across the world have realized that AI and Machine Learning will be a major disruptor and potentially change the balance of military power. Until recently, the hype exceeded reality. Today, however, advances in AI in several important areas (here, here, here, here and here) equal and even surpass human capabilities. If you haven't paid attention, now's the time. Artificial Intelligence and the Department of Defense (DoD) The Department of Defense has thought that Artificial Intelligence is such a foundational set of technologies that they started a dedicated organization- the JAIC – to enable and implement artificial intelligence across the Department. They provide the infrastructure, tools, and technical expertise for DoD users to successfully build and deploy their AI-accelerated projects. Some specific defense related AI applications are listed later in this document. We're in the Middle of a Revolution Imagine it's 1950, and you're a visitor who traveled back in time from today. Your job is to explain the impact computers will have on business, defense and society to people who are using manual calculators and slide rules. You succeed in convincing one company and a government to adopt computers and learn to code much faster than their competitors /adversaries. And they figure out how they could digitally enable their business – supply chain, customer interactions, etc. Think about the competitive edge they'd have by today in business or as a nation. That's where we are today with Artificial Intelligence and Machine Learning. These technologies will transform businesses and government agencies.
Time and space are fundamental to the existence of the universe, and human intelligence is our tool for navigating time and space in an appropriate manner. Our ability to see the future is critical. Through evolution, the human brain has evolved into a tool that perceives not only time, place, and things, but our neural network also predicts what will happen in the near future. What kind of path will the stone that you throw take? In which direction does the tree fall?
Apple has arguably changed our lives more than any other company in the world during the past two decades or so. But aside from its digital devices such as iPhones, laptops, watches and operating systems, is there another direction it could go? The somewhat tentative answer to that has been transport, in the form of electric self-driving vehicles. Is Apple gearing up to challenge electric vehicle market leader Tesla, and what progress has been made so far? An Apple-branded car has been mooted for some years now, with sporadic reports of progress being made.