AI in Oil & Gas market is expected to grow from an estimated $1.57 billion in 2017 to $2.85 billion by 2022, at a CAGR of 12.66%, from 2017 to 2022. 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. The upstream AI in Oil and Gas Market is set to grow in the next five years.

The human brain is a funny thing. Certain memories can stick with us forever: the birth of a child, a car crash, an election day. But we only store some details--the color of the hospital delivery room or the smell of the polling station--while others fade, such as the face of the nurse when that child was born, or what we were wearing during that accident. For Google CEO Sundar Pichai, the day he watched AI rise out of a lab is one he'll remember forever. "This was 2012, in a room with a small team, and there were just a few of us," he tells me. An engineer named Jeff Dean, a legendary programmer at Google who helped build its search engine, had been working on a new project and wanted Pichai to have a look. "Anytime Jeff wants to update you on something, you just get excited by it," he says. Pichai doesn't recall exactly which building he was in when Dean presented his work, though odd details of that day have stuck with him. He remembers standing, rather than sitting, and someone joking about an HR snafu that had designated the newly hired Geoffrey Hinton--the "Father of Deep Learning," an AI researcher for four decades, and, later, a Turing Award winner--as an intern. The future CEO of Google was an SVP at the time, running Chrome and Apps, and he hadn't been thinking about AI.

As one of fundamental properties to characterize inconsistency measures for knowledge bases, the property of free formula independence well captures the intuition that free formulas are independent of the amount of inconsistency in a knowledge base for cases where inconsistency is characterized in terms of minimal inconsistent subsets. But it has been argued that not all the free formulas are independent of inconsistency in some other contexts of inconsistency characterization. In this paper, we propose a characterization of formulas independent of inconsistency in the framework of Priest's minimally inconsistent LP. Based on an atom-based counterpart of the notion of free formula, we propose a notion of Bi-free formula to describe formulas that are free from inconsistency in both syntax and paraconsistent models in this logic. Then we propose the property of Bi-free formula independence, which is more suitable for characterizing the role of formulas free from inconsistency in measuring inconsistency from both syntactic and semantic perspectives.

Large textual corpora are often represented by the document-term frequency matrix whose elements are the frequency of terms; however, this matrix has two problems: sparsity and high dimensionality. Four dimension reduction strategies are used to address these problems. Of the four strategies, unsupervised feature transformation (UFT) is a popular and efficient strategy to map the terms to a new basis in the document-term frequency matrix. Although several UFT-based methods have been developed, fuzzy clustering has not been considered for dimensionality reduction. This research explores fuzzy clustering as a new UFT-based approach to create a lower-dimensional representation of documents. Performance of fuzzy clustering with and without using global term weighting methods is shown to exceed principal component analysis and singular value decomposition. This study also explores the effect of applying different fuzzifier values on fuzzy clustering for dimensionality reduction purpose.

The latest research Cognitive Computing Technology market is comprehensively and Insightful information in the report. The market report contains different market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. The report provides detailed profile assessments and multi-scenario revenue projections for the most promising industry participants. Each regional market studied in the report is carefully analyzed to explore key opportunities and business prospects they are expected to offer in the near future. This equips players with crucial information and data to improve their business tactics and ensure a strong foothold in the global Cognitive Computing Technology market.

The dreaded El Niño strikes the globe every 2 to 7 years. As warm waters in the tropical Pacific Ocean shift eastward and trade winds weaken, the weather pattern ripples through the atmosphere, causing drought in southern Africa, wildfires in South America, and flooding on North America's Pacific coast. Climate scientists have struggled to predict El Niño events more than 1 year in advance, but artificial intelligence (AI) can now extend forecasts to 18 months, according to a new study. The work could help people in threatened regions better prepare for droughts and floods, for example by choosing which crops to plant, says William Hsieh, a retired climate scientist in Victoria, Canada, who worked on early El Niño forecasts but who was not involved in the current study. Longer forecasts could have "large economic benefits," he says.

In the last ten years, 2 billion people were affected by disasters according to the World Disasters report 2018. In 2017, 201 million people needed humanitarian assistance and 18 million were displaced due to weather related disasters. Many of these disaster-prone areas are literally "missing" from the map, making it harder for first responders to prepare and deliver relief efforts. Since the inception of Tasking Manager, the Humanitarian OpenStreetMap Team (HOT) community has mapped at an incredible rate with 11 million square kilometers mapped in Africa alone. However, large parts of Africa with populations prone to disasters still remain unmapped -- 60% of the 30 million square kilometers.

Held annually in Asia, Europe and the Middle East, Hack In The Box conferences bring together the world's top cyber security experts to share and discuss their latest knowledge, ideas and techniques with security professionals and students. The next HITB event is HITB CyberWeek, which takes place October 12th – 17th at Emirates Palace, Abu Dhabi. As usual, it will offer security trainings, talks, and live challenges. Among the live competitions to be held at the conference is the AI Challenge, which aimed at machine learning and AI enthusiasts. In the first one, participants are tasked with developing an automated penetration testing model based on the DeepExploit framework.

Reach Robotics, the company behind the spider-like MekaMon robot you might've seen on the shelves at the Apple Store, is closing down. Billed as the "world's first gaming robot," MekaMon is part video game, part STEM tool. You could plop it down on the carpet and point your phone at it to battle virtual augmented reality enemies, face off against other MekaMon owners in multiplayer battles or build custom programs for the robot on top of Apple's Swift Playgrounds. Here's a video we did on Reach Robotics a few years back: Reach Robotics was founded in 2013. They released their MekaMon robot in November of 2017, just a few months after raising a $7.5 million Series A. The consumer robotics sector is an inherently challenging space – especially for a start-up.

While technology was involved in less than 50% of customer experience (CX) projects in the past, now it is involved in almost two-thirds of these types of initiatives. This is according to Don Scheibenreif, distinguished VP analyst within the customer experience research group at Gartner, commenting on the evolution of customer experience over the last 10 years. With technology, many organisations are realising it's not enough to have a good customer service department or marketing department, they are thinking about the whole experience a client goes through, stated Scheibenreif. He pointed to the fact that an airline can now offer customers 10 different ways to interact with it via technology, something that was not around five years ago. "Technology is providing companies more choices to interact with the customer. Software vendors are also responding to those needs by creating things like data warehouses for customer data. There are more intelligent case management systems that figure out the next customer actions, as well as interactive and predictive e-commerce platforms. "A lot of the technology has evolved to provide companies many more options to engage with customers and even potentially predict what they will do next." The distinguished VP analyst added Gartner believes companies like Starbucks, Domino's Pizza, Ritz-Carlton Hotel and BMW have found value in using technology. "These are organisations that actively study customer behaviour, they understand customer journeys and they are very strategic in their use of technology to create an overall experience," he said. This week, Gartner hosted its annual Gartner Symposium/ITxpo in Cape Town, where CIOs and senior IT executives heard about the technology and trends shaping the future of IT and business, including how firms cannot grow their business if they don't give customers great experiences. For Gartner, Scheibenreif said, CX is the sum of either the one-off or cumulative interactions that a person would have with a company, whether it's through employees, physical location or the company Web site. When you put all of those interactions together, that is the customer experience. Mapping out the customer journey, the Gartner analyst said it started from customer service. "It was basically improving interactions on the phone, first-call resolution and being able to provide a personalised experience.