Energy

Attitudes about nuclear energy are changing, with pundits on both sides of the aisle touting its benefits for extremely efficient and relatively clean energy. Despite an ever more positive public opinion, the nuclear industry in the United States, the largest in the world, is currently experiencing a downturn, even going so far as to need government subsidies to keep afloat. In fact, at present the fastest growing sector of the nuclear industry is profiting not off of growth, but off of the nuclear sector's slow death in the United States. According to reporting by Bloomberg, "the fastest growing part of the nuclear industry in the U.S. involves a small but expanding group of companies that specialize in tearing reactors down faster and cheaper than ever before." Tearing down old nuclear reactors is no easy feat, however.

AI in Oil & Gas market is projected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66% from 2017 to 2022. Northbrook, IL -- (SBWIRE) -- 06/20/2019 -- AI in Oil & Gas market is expected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66%, during the forecast period. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Software in AI in Oil & Gas market is applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in Oil & Gas market is expected to grow swiftly during the forecast period (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities.

AI in Oil & Gas market is projected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66% from 2017 to 2022. Northbrook, IL -- (SBWIRE) -- 06/20/2019 -- AI in Oil & Gas market is expected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66%, during the forecast period. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Software in AI in Oil & Gas market is applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in Oil & Gas market is expected to grow swiftly during the forecast period (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities.

One of the big promises of the Internet of Things (IoT) is understanding the physical world around us and taking action based on insights and observations. Over the last decade, we've gotten really good at the first part, using smart devices and sensors for monitoring and data collection. We have sensors everywhere, in consumer products, on the floor and embedded in manufacturing and industry, distributed across nature and remote areas of the world--always on and always streaming new readings as they happen. This has transformed our understanding of how we work and live because we have more up-to-the-second data and analysis than ever before. The next area ripe for innovation is what we do with that data.

HONG KONG - Entrepreneur Tony Verb is on a mission to promote technology that can help make cities greener and smarter in China's Greater Bay Area, now being shaped as a low-carbon megalopolis. Hong Kong-based Verb, co-founder of the investment firm GreaterBay Ventures & Advisors, plans to back urban tech businesses working on autonomous e-vehicles, flying taxis, artificial intelligence, robotics and clean energy. Verb is betting on China's master plan to develop the Pearl River Delta into a sustainable innovation hub, which he believes will serve as "a great case study" for the world's cities. In February, Beijing announced it would foster links between nine cities in Guangdong province and the special administrative regions of Hong Kong and Macao to forge the world's biggest urban area, with 70 million people. Under the Greater Bay Area (GBA) plan, each city has a different role, but the blueprint is centered on developing the delta in a high-tech way that also preserves its ecology.

However, some of the biggest arguments or worries about AI have already been answered without most people noticing. Don't worry about future artificial intelligence challenges. Humans develop AI and write policy. IBM's AI platform Watson is 90% accurate in making treatment decisions in early-stage lung cancer. Self-driving cars are safer than human drivers.

Take a look at the iPhone sitting in front of you. It arrived as a finished product to you on a container ship, but each element of its manufacture was also shipped in turn -- from crude oil deliveries to a refinery, to silicon for glassmakers and electronic components, and from ores to be processed into metals, to the wholesale transportation of wires, chips and plastics. The phone also needs to be charged: oil products or biomass are transported daily to power stations, generating the electricity through wires that run into your home -- themselves made of concrete, sand, wood, metal and ceramics. In fact, 90 percent of almost everything is transported by ship at some point. It is the backbone of the globalized, connected society we live in.

As I write this, Futurama's Bender is on my TV expressing his opinions about the flaws of us humans. Although he may take it a little farther than I would, it's true that we don't have the best natural detection capabilities. And when you're talking about detecting structural flaws in something like a nuclear reactor, human error isn't something with which I'd want to take a chance. Luckily, technology is able to help us with this, and it's sure to be much more helpful than Bender the Robot. A system in development at Purdue University is poised to help operators detect cracks and their severity in nuclear reactors, according to a recent article by Chris Adam.

Robots can do all sorts of things that humans can: they can deliver packages, drive cars, make lattes, and now, rather disconcertingly, they can bleed. In a paper published in Nature, researchers from Cornell University and the University of Pennsylvania explore the use of'electrolytic vascular systems for energy-dense robots' which in this particular case means, a robotic fish that relies on a form of'blood.' As reported by Gizmodo, the specimen uses a type of human-engineered circulatory system to pump a synthetic'blood' -- an electrolyte solution used as hydraulic fuel -- to provide its propulsion and power. Using a'blood' as fuel, researchers say a robotic fish could is able to swim for 36 hours straight Researchers are employing the use of a'blood' like substance to power a robotic fish. The solution is infused with electrolytes to power the bot and is also used to hydraulicly propel it through the water.

FREMONT, CA – Industries and organizations across the globe have realized the potential of artificial intelligence (AI), and the oil and gas industry is one of them. Petroleum oil is one of the most prominent resources in the energy sector and is the basis for many products such as wax, lubricant, kerosene, petroleum jelly, and so on. Over the last few years, the crude oil reserves are steadily reaching their limits. Also, the rise of alternative fuel sources has resulted in the reduction of oil prices, which has raised concerns in the oil and gas sector. To alleviate the adverse effects plaguing the industry, many organizations are turning toward modern technologies to increase productivity as well as revenue.