If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true IoT ecosystem. Research showed that almost half (49%) of respondents already use AI in their IoT applications, with Machine Learning (ML) the most used technology (28%) followed by cloud-based AI (19%). This adoption of AI within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in IoT applications. Other results from element14's second Global IoT Survey show that security continues to be the biggest concern designers consider in IoT implementation.
Automakers worldwide are racing to bring to market the latest and greatest connected cars and investing in R&D to enable autonomous driving in the future. In fact, Ovum predicts that, by 2022 there will be 300 million cars on the road boasting different connected features. Today, the ongoing development of connected vehicles and the continued expansion of the Internet of Things and globally connected devicesis changing the way consumers and manufacturers view the automobile. Over the next five years, the expansion of "connected things" and the growth of new network standards, namely 5G, will trigger a major shift in the future of vehicles. As cars become more intelligent data collection points and communicate better with one anothera new era ofvehicle production will be born, as manufacturers focus on different types of vehicles for work and personal uses.
Toyota Motor Corp. and Nippon Telegraph and Telephone Corp., Japan's auto and telecommunications giants, formed a capital tie-up Tuesday to build energy-efficient "smart cities" where autonomous vehicles transport residents. The two firms, which have been developing "connected cars" equipped with advanced telecommunication systems since 2017, deepened their partnership into mutual shareholdings, with each investing around 200 billion yen ($1.8 billion) by purchasing each other's treasury stocks. Toyota said it will start the smart city project at a 175-acre site at the foot of Mt. Toyota has said only fully autonomous, zero-emission vehicles are allowed to travel on main streets in the envisioned smart city where around 2,000 residents have in-home robotics to assist their daily lives. NTT also said it will launch an internet-led smart city project at an NTT-related block in Shinagawa area in Tokyo's Minato Ward.
Toyota Motor Corp. and Nippon Telegraph and Telephone Corp. said Tuesday they will form a capital tie-up to build an energy-efficient "smart city" using advanced information technology. In the tie-up, the auto and telecommunications giants said they will mutually invest around ¥200 billion ($1.8 billion) by purchasing each other's treasury stocks. Development of "smart cities" has been accelerating globally. Autonomous vehicles provide transport for their residents and energy is used efficiently with internet-connected devices tracking real-time consumption of electricity and gas. Toyota said in January it plans to build from early 2021 a fully sustainable prototype city at a 175-acre site at the foot of Mount Fuji where only fully autonomous, zero-emission vehicles will be allowed to travel on main streets.
The Artificial Intelligence Plus Internet of Things (AIOT) Market study is major compilation of significant information with respect to the competitor details of this market. Likewise, the information is also inclusive of the several regions where the Global Artificial Intelligence Plus Internet of Things (AIOT) Market has successfully gained the position. Report on the Global Artificial Intelligence Plus Internet of Things (AIOT) Market has been prepared after conducting a comprehensive research through a systematized methodology. These skills are useful for scrutinizing the market on the terms of outlined research guidelines. Mainly, research report covers all the information about the target audience, manufactures, vendors, research papers, products and many more.
Although the concept of digital twins isn't new and exists since before the term digital twin was coined at the start of this Millennium, it took until this decade before digital twin technology, the various digital twin use cases and the potential benefits gained more attention. In an Industrial IoT context digital twin usage grows fast a 2018 Gartner digital twin report finds, offering digital twin best practices for CIOs on top of data regarding (planned) usage. First, quickly back to the digital twin roots to understand today's evolutions and impact. On top of the possibilities and several ways to create value which digital twins offer (whereby there is still a lot to explore and try on multiple levels; products, assets and beyond) as a driver of the rise of digital twins in industrial applications, there are several key technology-related drivers. The latter overlap with the factors that contributed to growing adoption of the Internet of Things (initially in the enterprise and Industrial IoT segments), the acceleration of digital transformation and the evolutions enabling Industry 4.0.
TinyML, as a concept, concerns the running of ML inference on Ultra Low-Power (ULP 1mW) microcontrollers found on IoT devices. Yet today, various challenges still limit the effective execution of TinyML in the embedded IoT world. As both a concept and community, it is still under development. Here at Ericsson, the focus of our TinyML as-a-Service (TinyMLaaS) activity is to democratize TinyML, enabling manufacturers to start their AI businesses using TinyML, which runs on 8, 16 and 32 bit microcontrollers. Our goal is to make the execution of ML tasks possible and easy in a specific class of devices.
The graph represents a network of 4,183 Twitter users whose tweets in the requested range contained "#iot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 March 2020 at 05:49 UTC. The requested start date was Tuesday, 10 March 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 12-hour, 17-minute period from Monday, 09 March 2020 at 11:43 UTC to Tuesday, 10 March 2020 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
Several lofty predictions about the number of connected devices in the IoT begin this year; many developments directly impacting its adoption rates will flourish in the coming 10 years, rendering it the premier expression of data management. A number of trends in edge computing, 5G, cyber security, Artificial Intelligence, and digital twins will significantly alter what the IoT means to enterprises. Opportunities for monetization will proliferate as, perhaps, will the potential for misuse. Exactly which of these trajectories will dominate remains to be seen. "The creators of IoT apps and the whole platform, including hardware and software, are coming up with ways we never envisioned for what IoT systems could do," observed Cybera President Cliff Duffey.
In fact, industry experts predict that, by 2021, there will be between 27 and 40 billion interconnected devices making up the Internet of Things (IoT). While a large proportion of these devices benefit and enhance our personal lives, this rapid expansion is also giving rise to new opportunities in the business world. Being able to share information openly has the potential to significantly benefit and improve countless industries. However, while this expansion is exciting, it also presents a number of challenges for businesses, including matching scalability with appropriate platform technology and how communities of information suppliers and consumers can collaborate in ecosystems. So, how can everyone seize this IoT opportunity?