Apple has pulled thousands of apps from its App Store in China, following criticism from government-backed media in the country. Local reports suggest the cull involved up to 25,000 apps related to gambling and lottery games, though Apple did not confirm the number. China is Apple's most important market outside the US, as well as the home to iPhone and iPad production, and the trillion-dollar company appears to have acted quickly following the criticism to avoid further backlash. "Gambling apps are illegal and not allowed on the App Store in China," Apple said in a statement. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.
I am sure that many of us still remember the Netscape IPO in 1995 and the fivefold growth in share value in four months. Expectations for technology and its impact were in the stratosphere. The then-Federal Reserve Board chairman, Alan Greenspan, gave a speech at the American Enterprise Institute where he famously questioned the "irrational exuberance" in the market and in technology. I believe today we are seeing a similar exuberance with technology. Are revolutionary technologies for cancer screening -- ones that rely only on a finger prick drawing just one thousandth the normal amount of blood -- really feasible?
Infamous Jeep hackers Charlie Miller and Chris Vasalek have said that the state of self-driving vehicle security is surprisingly good, while presenting at the Black Hat security conference. Now employed by GM's Cruise subsidiary, the pair are hoping to improve the collective capabilities of the industry, with Vasalek noting that an incident for a competitor will damage them too. The presentation, available here, is worth diving into. The key takeaways are that the industry has a unique opportunity to harden its systems while very few people have access to the code, ensuring that their systems will be better able to stand up to attack once released into the wild. This includes hardening the physical access to the vehicle's subsystems, such…
By 2035, Artificial Intelligence (AI) has the power to increase productivity by 40 percent or more, according to Accenture. For manufacturing companies, integrating AI into legacy information and communications systems will deliver significant cost, time and process-related savings quickly. AI improves the manufacturer's bottom line through intelligent automation, labor and capital augmentation, and innovation diffusion. For example, by analyzing incidents in real time, AI can provide early warning of potential problems and propose alternative solutions. These benefits mean that AI has the potential to boost profitability an average of 38 percent by 2035.
Customers want your business to use Artificial Intelligence (AI) to improve their experience and make their life easier -- even if they don't know what it is or what it does. They understand that they must enable AI-powered experiences to better serve customers and to keep up with competitors. But even with adoption and interest being as high as it is, we're just at the beginning of the AI journey. In this article, we take a look at how the 6 evolutionary stages of AI are significantly shaping new customer experience expectations. When you type anything into Google, you're met by a barrage of search results.
The automotive industry is among the sectors at the forefront of using artificial intelligence (AI) to mimic, augment and support the actions of humans, while simultaneously leveraging the advanced reaction times and pinpoint precision of machine-based systems. Indeed, today's semi-autonomous vehicles and the fully autonomous vehicles of the future will rely heavily on AI systems. However, according to a new report from Tractica, while autonomous driving will be a leading impetus for AI spending in the automotive industry, the use cases for AI in vehicles are in fact much broader. Key applications encompass automotive human machine interaction (HMI) functionality like voice/speech recognition, driver face analytics, emotion recognition and gesture recognition; maintenance and safety applications like predictive maintenance, automated on-road customer service and vehicle network and data security; and personalized services in cars, among many others. All told, across 15 such AI use cases, Tractica forecasts that revenue from automotive AI software, hardware and services will increase from $2.0 billion in 2018 to $26.5 billion by 2025, representing a compound annual growth rate (CAGR) of 46.9%.
Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI, the form of A.I. where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. AI for Good is a movement in which institutions are employing AI to tackle some of the world's greatest economic and social challenges. For example, the University of Southern California launched the Center for Artificial Intelligence in Society, with the goal of using AI to address socially relevant problems such as homelessness. At Stanford, researchers are using AI to analyze satellite images to identify which areas have the highest poverty levels. The Air Operations Division (AOD) uses AI for the rule based expert systems. The AOD has use for artificial intelligence for surrogate operators for combat and training simulators, mission management aids, support systems for tactical decision making, and post processing of the simulator data into symbolic summaries.
Fingers fly and eyes meet. This orchestra may seem a mess to anyone stuck in the pit at rush hour, but for the most part, it works. Humans may not excel as drivers when it comes to paying attention or keeping calm, but we're masters of communication, even when stuck in our metal boxes. Robots offer this resume in reverse: all-stars when it comes to defeating distraction, noobs when it comes to negotiating the human-filled environment. And for the folks aiming to deploy fleets of self-driving cars into that chaos, this is a problem.
Self-driving cars are like snowbird retirees. Given the freedom to live, or operate, anywhere in the country, they turn their backs on wintry states and flock to the sun. There's a reason Waymo, Uber, and even grocery story giant, Kroger, are testing their shiny new autonomous vehicles in southwestern cities like Phoenix. Yes, Arizona's regulations are friendly to them, but the year-round good weather is the major draw. As sophisticated as these machines are becoming, they still struggle when fog reduces visibility, or when snow covers lane markings.