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) …
Speaking at the Abu Dhabi International Petroleum Exhibition Conference (ADIPEC) on Wednesday, Omar Saleh said technology disruptions over the past three years had been a "wake-up call" for all oil and gas firms.He said AI would be of "massive importance" over the next to five to 10 years, before adding that of any technology, AI would also have the most impact on the oil and gas sector overall.The U.S. shale revolution paved the way for a three-year oil price downturn that sent crude spiraling from more than $100 a barrel in 2014 to about $60 today. That has piled pressure on the oil-dependent economies of OPEC nations and forced a round of production cuts this year. On Tuesday, Baker Hughes GE CEO Lorenzo Simonelli said " " in the oil and gas industry should be viewed positively. Correction: This story has been updated to reflect that Omar Saleh believes AI will have the greatest technological impact on the oil and gas industry over the coming years. Speaking at the Abu Dhabi International Petroleum Exhibition Conference (ADIPEC) on Wednesday, Omar Saleh said technology disruptions over the past three years had been a "wake-up call" for all oil and gas firms.
Artificial intelligence (AI) poses the greatest threat to the oil and gas industry over the next five to 10 years, according to Microsoft's oil and gas director for the Middle East and Africa. Speaking at the Abu Dhabi International Petroleum Exhibition Conference (ADIPEC) on Wednesday, Omar Saleh said technology disruptions over the past three years had been a "wake-up call" for all oil and gas firms. He said AI would be of "massive importance" to the industry over the coming years, but added that it would also pose the greatest risk to the oil and gas sector overall. The U.S. shale revolution paved the way for a three-year oil price downturn that sent crude spiraling from more than $100 a barrel in 2014 to about $60 today. That has piled pressure on the oil-dependent economies of OPEC nations and forced a round of production cuts this year.
The bombshell Paradise Papers are reportedly implicating key members of the Trump administration. On Nov. 5, one of the largest data leaks in history revealed the offshore endeavors of some of the world's most influential people. Here's what you need to know about the Paradise Papers, so named because many of the offshore assets are held in tropical places like Bermuda. The Paradise Papers refers to a trove of 13.4 million documents that expose the offshore assets of some of the world's biggest companies such as Nike, Apple, and Uber. The leak, which is one of the biggest in history and comes about 18 months after the Panama Papers leak, exposes how these companies and individuals "avoid taxes through increasingly imaginative bookkeeping maneuvers," according to the International Consortium of Investigative Journalists, a global network of more than 200 investigative journalists in 70 countries who collaborate on in-depth investigative stories, according to its website, which has access to the documents.
I'm fortunate to have met with some of the pioneers of data science and machine learning early on in my career. Their thoughts shaped my interest in the field and their habits formed my daily routine. The most frequent question I'm asked is some form of, 'How do I build a machine learning or data science career?' It starts with forming some important habits. Here's what works for me and what I've seen build exceptional data scientists.
Three years ago, Woodside Petroleum kicked off an initiative to determine if it could use analytics techniques to predict the failure of a particular piece of plant equipment. As a cheap and quick test was promising, Woodside's foray into analytics "exploded" from there, setting up an internal team comprising engineers, asset specialists, and others to focus on the opportunities data science presented. It was important to the company to have the team built from business leaders, rather than technical specialists. Woodside's chief digital officer Tom Ridsdill-Smith told the Gartner Symposium/ITxpo on the Gold Coast on Monday that this team straight away turned to open source tools, and partners that were excelling at data-driven platforms, as Woodside was aware of its capabilities. Working with IBM Watson, Woodside built a customised tool that allowed its employees to find detailed answers to highly specific questions -- even on remote oil and gas facilities.
Honda's latest concept car is an all-electric sportster that aims to bring AI-powered cruising to the highway. The automaker showed off the new Sports EV at the Tokyo Motor show after hyping its unveiling in a press release. Honda didn't share any real specs about the Sports EV, but the automaker said the car shares the same production platform and AI tech as the Urban EV concept unveiled last month at the Frankfurt Auto Show. That model is more than just a forward-looking concept -- it's prepped for a full-scale production run in Europe by 2019. SEE ALSO: Volvo's wave of electric cars starts with a new brand: Polestar Honda's presentation might have been short on details, but the new sporty version of the EV looks great.
We stand on the verge of a revolution in Life Sciences. Artificial Intelligence (AI) has the power to change everything. It can handle the vast amounts of data being created, continuously learn even as it's exposed to more data and deliver actionable insights for better decision-making. There is little doubt that the next few years are going to bring some incredible developments to the sector. How best do we get there?
The number jobs in artificial intelligence (AI) in the UK has risen dramatically in the last three years, according to Indeed. Since 2014, the number of available AI roles in Britain has increased by 485% - representing a significant spike in demand for employees with the appropriate skills for the job. Yet Indeed's data also reveals there are over two times as many AI jobs available than there are suitable applicants, with a ratio of 2.3 roles available per candidate searching in the last quarter. Interest in AI roles has risen more steadily by 178% in the past three and a half years, not quite high enough to meet the fivefold surge in postings. The popularity of software in innovations including smart home devices and customer service chat bots demonstrate how the industry is developing at pace.
Many years ago, during my first assignment at (super) major oil company, I was in charge of significant decisions for wells drilled in an onshore gas field. Each of these wells were drilled quickly, on average taking 5–7 days. The geology was well known, the reservoirs were, generally speaking, economic and the operational risks from drilling were rather low and manageable. Despite the apparent homogeneity (nothing in geology is truly homogeneous) of the regional geology of this field, operations geologists (such as myself), had to do some very manual work. As we approached the reservoir section for each well, I was required to confirm we were approaching the reservoir based on data obtained while drilling.
The camera on the new Pixel 2 is packed full of great hardware, software and machine learning (ML), so all you need to do is point and shoot to take amazing photos and videos. One of the technologies that helps you take great photos is HDR, which makes it possible to get excellent photos of scenes with a large range of brightness levels, from dimly lit landscapes to a very sunny sky. HDR produces beautiful images, and we've evolved the algorithm that powers it over the past year to use the Pixel 2's application processor efficiently, and enable you to take multiple pictures in sequence by intelligently processing HDR in the background. In parallel, we've also been working on creating hardware capabilities that enable significantly greater computing power--beyond existing hardware--to bring HDR to third-party photography applications. To expand the reach of HDR, handle the most challenging imaging and ML applications, and deliver lower-latency and even more power-efficient HDR processing, we've created Pixel Visual Core.