Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
The era of artificial intelligence (AI) is officially here. The AI market is expected to grow from $21.46 billion in 2018 to $190.61 billion by 2025, at a CAGR of 36.62% between 2018 and 2025, according to a recent report. AI's phenomenal growth across different industries is being fueled by unprecedented computing power, ever-increasing amounts of data--billions of gigabytes every day--and sophisticated deep-learning algorithms. According to the AI Index report, the number of active U.S. startups developing AI systems has increased 14 times whereas the annual VC investment into such startups has increased only 6 times since 2000. Moreover, the share of jobs requiring AI skills in the U.S. has grown 4.5 times since 2013.
Every telco seems to be pushing out news about 5G these days. With Mobile World Conference taking place, and as noted having morphed from a consumer show to a a business event, this is hardly surprising. Alongside 5G, machine learning, AI and cloud are seen as the technologies that will revolutionize domains such as autonomous vehicles and smart cities. But is 5G really a game changer? ZDNet discussed with leaders in the field, focusing on the impact of 5G on data collection, storage, processing, and applications and the interplay with cloud and AI.
There's been no shortage of hype about 5G from experts at this week's Mobile World Congress in Barcelona, along with a sober assessment of how far off it really is. Every telco seems to be pushing out news about 5G these days. With Mobile World Conference taking place, and as noted having morphed from a consumer show to a a business event, this is hardly surprising. Alongside 5G, machine learning, AI and cloud are seen as the technologies that will revolutionize domains such as autonomous vehicles and smart cities. But is 5G really a game changer?
Autonomous driving is not one single technology but rather a complex system integrating many technologies, which means that teaching autonomous driving is a challenging task. Indeed, most existing autonomous driving classes focus on one of the technologies involved. This not only fails to provide a comprehensive coverage, but also sets a high entry barrier for students with different technology backgrounds. In this paper, we present a modular, integrated approach to teaching autonomous driving. Specifically, we organize the technologies used in autonomous driving into modules. This is described in the textbook we have developed as well as a series of multimedia online lectures designed to provide technical overview for each module. Then, once the students have understood these modules, the experimental platforms for integration we have developed allow the students to fully understand how the modules interact with each other. To verify this teaching approach, we present three case studies: an introductory class on autonomous driving for students with only a basic technology background; a new session in an existing embedded systems class to demonstrate how embedded system technologies can be applied to autonomous driving; and an industry professional training session to quickly bring up experienced engineers to work in autonomous driving. The results show that students can maintain a high interest level and make great progress by starting with familiar concepts before moving onto other modules.
In its recently released fourth-quarter and full-year earnings report, NVIDIA (NASDAQ: NVDA) showed the world that it could continue to put up blockbuster revenue and earnings numbers. The company grew revenue 34% over the prior-year quarter, while data center revenue based on AI (artificial intelligence) produced triple-digit year-over-year growth for the seventh consecutive quarter. It also beat analysts' estimates on both its top and bottom lines to produce a record-setting quarter.
Society is pushing towards the coming age of artificial intelligence. Though AI exists on some level right now and is integrated into our everyday lives, it is still nowhere near the sentient beings you grew up watching on your favorite sci-fi shows. Though there have been some obvious naysayers against the future of AI, artificial intelligence could equally change the world for the better. Pieter Abeel argues that AI robotics will allow society to address major challenges that plague the global population right now.
The ability of artificial intelligence to make ethically sound decisions is a hot topic in debates around the world. The issue is particularly prevalent in discussions on the future of autonomous cars, but it spans to include ethical conundrums similar to those depicted in sci-fi flicks like Blade Runner.
Artificial intelligence (AI) is fast becoming one of the most important areas of digital expansion in history. The CEO of Applied Materials recently stated that "the war" for AI leadership will be the "biggest battle of our lifetime."1 AI promises to transform almost every industry, including healthcare (diagnosis, treatments), automotive (autonomous driving), manufacturing (robot assembly), and retail (purchasing assistance). Although the field of AI has been around since the 1950s, it was not until very recently that computing power and the methods used in AI have reached a tipping point for major disruption and rapid advancement. Both of these areas have a tremendous need for much higher memory bandwidth.