Chiba – Researchers in Japan have been conducting experiments using robotics and artificial intelligence to alleviate fruit farmers' reliance on scarce labor while supporting those who are aging and have no successor. Trials are underway in Chiba Prefecture, a major production area for Japanese pears, and Yamanashi Prefecture, the country's main grape-growing region. In spring this year, a consortium made up of the Chiba Prefectural Government, agricultural cooperatives, and other concerns launched a two-year experimental project at pear-growing properties in the cities of Ichikawa and Narita in the prefecture. According to Tokyo-based consulting company NTT Data Institute of Management Consulting Inc., which oversees the experiments, a robot cargo vehicle automatically follows workers as they harvest pears, transporting the fruit to a designated location. An integrated camera shoots photographs of the prepicked pears and surrounding foliage, AI analyzes the data and provides information on the best time for the fruit to be harvested based on its growth.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.
Zhang, Daniel, Mishra, Saurabh, Brynjolfsson, Erik, Etchemendy, John, Ganguli, Deep, Grosz, Barbara, Lyons, Terah, Manyika, James, Niebles, Juan Carlos, Sellitto, Michael, Shoham, Yoav, Clark, Jack, Perrault, Raymond
Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.
Robotics technology has become a key driving force for a whole new generation of autonomous systems and devices. It has the potential to transform every aspect of life and business, enable an enhanced level of service delivery and improve efficiency. From diverse industry verticals to personal use at home, robotics is set to become an effective technology revolutionizing the way we live and work. At the same time, it is driving a heightened demand for the skilled professionals. Credit to its nature to assist humans in every condition such as manufacturing, precision agriculture, and disaster recovery, among others, organizations are actively looking for robotics professionals for their business innovation and growth, which is leading to a rise of jobs in this field. According to salary estimations from Glassdoor, the average salary of a Robotics professional in India is INR 16,82,582.
Be it the steam engine, electric bulb, computer, or robot, machines have been at the core of industrialization evolution from the late 18th century through today's Industry 4.0. They have been there for us when volume and coverage mattered. However, this digital economy, accelerated by automation, robotics, and artificial intelligence, demands a delivery paradigm vastly different from the conventional one. This new machine first model for delivery will be hinged on human-machine collaboration. Human ingenuity, together with machine precision and power will, be the guiding force for elevated growth and success in this Business 4.0TM era.
Artificial intelligence (AI) is powering a new class of automation that is disrupting enterprises and entire industries. However, this is not about a single technology. Rather, it is a confluence of technical improvements, lower costs, and generational demographic changes that are driving organizations to accept and adopt technology. On one end of the spectrum is robotic process automation (RPA), where activities are characterized as process oriented and rules based. On the other end of the spectrum are cognitive technologies where activities are characterized as judgment and skill oriented.