Artificial intelligence is transforming industry in many ways. From task automation to decision making, the way we work and interact with the world. In this article, we will explore how AI is being used in different industries and how it is driving efficiency and productivity. Artificial intelligence is changing the way we work in several ways. First -- AI is being used to automate tasks and processes.

Climate change has been a problem for many years. Climate change influences our health, cultivation, dwellings, security and employment. CO2 stands for carbon dioxide, which is found in the atmosphere and comes from natural sources and burning fossil fuels. They are followed by some solutions that researchers and developers can implement instantly to transform the future. AI has been the driving force for numerous sound transformations to the environment.

Well, due to its breathtaking innovation, deep learning has left various industries astonished, and the transportation industry is no exception. The industry is so large that the annual GDP amounts to 471.90 U.S.D. billion in the U.S. alone. However, this industry that forms the backbone of any economy faces some severe challenges as the scale of operation escalates. Grand View Research's latest report stated that the deep learning market would reach a value of $10.2 billion by the end of the year 2025, which highlights the growing popularity of this technology. When both the industry and the technology are growing at such a rate, why not use deep learning in transport to up the performance of this sector.

A cyclist passes electric automobiles charging at Ubeeqo SAS electric vehicle charge stations in ... [ ] Paris, France, on Wednesday, May 27, 2020. President Emmanuel Macron's plan includes incentives for the purchase of electric cars, cash-for-clunkers to encourage consumers to trade in older, more polluting cars and subsidies for struggling car-parts makers. In November 2019, the first case of Covid-19 was reported in Wuhan, China. During the early days of the outbreak, local authorities attempted to clamp down on sharing information about the virus, but as the transmission strengthened in the region, the government imposed lockdown measures across China's Hubei province to control the spread of Covid-19. On January 22, Wuhan became the first major city under quarantine, and in the months that followed, many cities followed suit that caused a shock to the global economy.

Just imagine the world without a transport facility! If you want to travel for long distances, how would you go? And, if a leading manufacturing company has to transport goods to its customer locations, then how it will do that without a transport facility? I think you understood the significance of the transportation industry. Do you believe or not history of the initiatives across the transportation industry have exploded in 1787 when steamboat has invented.

Customers are growing to expect more from transportation companies. Plans can change last minute, so 24/7 support is a must. The key to travel is saving time, and the last thing a customer wants to do is lose more time after contacting a company for help. With the proper use of customer data, Artificial Intelligence (AI) enhanced customer support can be ready to answer any and all questions before they ever need to be asked.

Transportation, the industry that deals with the movement of commodities and passengers from one place to another, has gone through several studies, researches, trials, and refinements to reach where it is now. One of the major milestones in the history of transportation was the steamboat in the year 1787. Prior to this, people relied on animal-drawn carts for their commute. Thereafter, major breakthroughs that led to the growth of the transportation industry were the invention of bicycles (early 19th century), motor cars (in the 1890s), trains (19th century), and aircrafts (1903). Today, the transportation sector has evolved to a level where vehicles can navigate and move without any human assistance.

Artificial intelligence (AI) is rapidly changing every segment of American industry: enhancing productivity, reducing labor costs, and providing companies and individuals with previously unforeseen efficiencies and insights. Simply put, the influence of AI in our daily lives is increasing on an exponential scale and will only become more commonplace in the coming years. Recognizing this fact, the federal government is increasingly devoting its efforts to identifying research and development (R&D) priorities and to setting standards of conduct to ensure that the United States remains at the forefront of global AI development. To that end, on September 26, 2018, the National Science Foundation published a Request for Information (RFI), seeking public input as the federal government contemplates updates to the 2016 "National Artificial Intelligence Research and Development Strategic Plan" (AI Strategic Plan). The RFI presents an opportunity for all interested parties--including entities operating in the agricultural, energy, environmental, natural resources, and transportation sectors--to help frame the United States' general policy toward the development, deployment, and oversight of AI.

The applications of the Internet of Things (IoT) have been growing dramatically in recent a few years. According to IDC, the transportation sector will be among the first to see a significant growth from the IoT, and the global IoT market in the transportation sector is expected to reach $195 billion by 2020. The smart IoT is dramatically accelerating the pace of innovation and transforming the way of operations in transportation and infrastructure. The ubiquitous deployment of smart, connected sensors and things, combined with artificial intelligence (AI) and big data analytics, can enable us to gather insightful knowledge, make real-time and even predictive computing to help us reaching better decisions and developing better plans to improve the safety, efficiency, and reliability of smart transportation. Here we take a look at some important applications of the IoT in intelligent transportation systems and smart cities.