A global line-up of artificial intelligence (AI) experts will be heading to Sydney to speak at the NVIDIA AI Conference. Researchers and developers will also get training from the NVIDIA Deep Learning Institute (DLI) during the event.
NVIDIA has announced the availability of NVIDIA Isaac, a new platform to power the next generation of autonomous machines, bringing artificial intelligence (AI) capabilities to robots for manufacturing, logistics, agriculture, construction, and many other industries.
Information and communications technology (ICT) spending in Asia/Pacific (excluding Japan) will hit US$1.5 trillion in 2021, according to IDC.
Dubbed “the brains behind the bots”, NVIDIA researchers will be heading to the International Conference on Robotics and Automation (ICRA) at Brisbane Convention and Exhibition Centre in Australia from May 21 to 25.
Marina Bay Sands Expo and Convention Centre was a hive of activities of a different sort as more than 700 technologists from 21 countries converged for EmTech Asia on January 30 and 31.
Spurred by growing interest in artificial intelligence (AI), the Asia-Pacific (APAC) robotics market is expected to growth to US$162 billion in 2021, accounting for 70 percent of the world’s total robotics market in 2021, according to IDC. China is expected to dominate with 45.7 percent market share over the next five years.
From a technology perspective, APAC spending on robotic systems is expected to grow to US$92 billion in 2021.This includes industrial, service and consumer robots and after-market robotic hardware. Meanwhile, services-related spending, which encompasses application management, education and training, hardware deployment, system integration, and consulting, will grow to more than US$44 billion in 2021.
“The convergence of robotics and artificial intelligence technologies are accelerating the development of the next generation of intelligent robots for industrial, commercial, and consumer applications. Intelligent robots with innovative capabilities such as cognitive interaction, self-diagnosis, and learning are emerging and driving wider adoption of robotics in many industries including manufacturing, resources, healthcare, retail, and so on,” said Dr Jing Bing Zhang, Research Director of Robotics at IDC Manufacturing Insights.
Artificial intelligence (AI) is not new. In fact, it has so many false starts over the past 60 years. The term went into hibernation for a long time.
Research into AI began way back in Dartmouth College in 1956 and was constantly associated with being the next frontier in the 1980s when mainframe computers ruled and supercomputers were a ginormous investment that very few could afford.
Despite the research put in over the years, the technology never quite took off and fell flat in many instances.