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.

AdMobilize, headquartered in Miami, FL with offices in London, UK, Bogota, Colombia, Sao Paulo, Brazil is a venture-backed AI company with seamless solutions for implementing advanced computer vision technologies in the brick and mortar world. The company has one clear mission; connecting the physical world to the online grid. Our "drop in" solutions yield to each customer's hardware/software needs. AdMobilize's suite of analytics and engagement products are designed to be "Plug and Measure", enabling real-time audience analytics and intelligence to be instantly activated at scale on any software/hardware platform. AdMobilize offers the industry's most complete and accurate analytics/engagement solution for digital signage, OOH, DOOH, retail, live events, small business, malls, restaurants, and beyond.

Algorithms'learn' from the data they are trained on to create a machine learning model that can perform a given task effectively without needing specific instructions, such as making predictions or accurately classifying images and emails. These techniques are already used widely, for example to identify spam emails, diagnose diseases from X-rays, predict crop yields and will soon drive our cars. While the technology holds enormous potential to positively transform our world, artificial intelligence and machine learning are vulnerable to adversarial attacks, a technique employed to fool machine learning models through the input of malicious data causing them to malfunction. Dr Richard Nock, machine learning group leader at CSIRO's Data61 said that by adding a layer of noise (i.e. an adversary) over an image, attackers can deceive machine learning models into misclassifying the image. "Adversarial attacks have proven capable of tricking a machine learning model into incorrectly labelling a traffic stop sign as speed sign, which could have disastrous effects in the real world. "Our new techniques prevent adversarial attacks using a process similar to vaccination," Dr Nock said. "We implement a weak version of an adversary, such as small modifications or distortion to a collection of images, to create a more'difficult' training data set.

Communitech, in partnership with the Schulich Foundation and Leaders Fund, revealed the problem statement for the Leaders Prize Competition Wednesday. This first-of-its-kind competition in Canada will award $1 million to the winning team using artificial intelligence (AI) to solve a global problem that is undermining our democracies: fake news and the spread of misinformation. Teams across Canada are invited to create solutions to automatically verify a series of claims, flag whether they are true, partly true, or false and provide evidence to support their determination. The prize will ultimately be awarded to the most effective and efficient AI based fact-checking solution. "This competition will inspire the creation of breakthrough solutions that inform our citizens if the online content they consume is accurate, before and as they read it," said David Stein, Co-Founder and Managing Partner, Leaders Fund.

DUBLIN--(BUSINESS WIRE)--The "Intelligence Report - Artificial Intelligence and the Telecoms Sector" report has been added to ResearchAndMarkets.com's offering. This report explores the key trends occurring in the Artificial Intelligence sector, the enterprises involved, various applications and the identification of potential opportunities for the telecoms industry. The International Telecommunications Union (ITU) highlighted both 5G and Artificial Intelligence as important innovations required to enable smart cities. For many years Artificial Intelligence (AI) was just a futuristic concept - but with recent progress in Machine Learning capabilities; the AI sector has been firmly pushed into the spotlight. In 2019 we will see this interest in Artificial Intelligence grow even further.

Boston Dynamics creates some of the most incredible robots on the planet. From the company's back-flipping biped to the four-legged dog-bot that Jeff Bezos hangs out with, you've probably seen videos of its robots completing feats of agility under extraordinary circumstances. But what happens when a robot gets sick and tired of being kicked, pushed, and forced to work under extreme conditions in the name of robustness testing? As you may have guessed, the "Bosstown Dynamics" video is a parody. It was made by a VFX crew called Corridor Digital with a knack for making funny videos featuring really cool special effects.

After the recent New York helicopter crash, many are starting to question the safety of choppers. With Uber Air debuting its helicopter ride-sharing service next month, are helicopters a safe mode for transportation? As Uber forges ahead with plans for a flying taxi service in 2023, other startups are unveiling futuristic air mobility vehicles, suggesting that a Jetsons-like transportation system may be closer than you think. Massachusetts-based Alaka'i Technologies showed an electric human-carrying drone last month that it claims can carry five passengers, and the American-Israeli startup NFT --short for Next Future Transportation -- hopes its new folding-wing vehicle will halve travel times by both driving on the street and flying through the air during commutes. This comes as Uber sets its sights on phase one of Uber Air, releasing a fleet of Uber Copters in NYC over the summer.

Dublin, May 14, 2019 (GLOBE NEWSWIRE) -- The "Chatbot Market to 2027 - Global Analysis and Forecasts by Component, Deployment, and Usage End-user" report has been added to ResearchAndMarkets.com's offering. The global Chabot market accounted to US$ 1072.4 Mn in 2018 and is expected to grow at a CAGR of 27.9% during the forecast period 2019 - 2027, to account to US$ 9475.1 Mn by 2027. Chabot vendors are offering virtual assistance capabilities due to factors such as faster response, reduced manpower, cost-efficient, and others. Most of the smartphone and tablet users are using virtual assistants to make the functionality of devices much easier.

Risk-related AI applications (risk management, lending, compliance, fraud and cybersecurity) account for 72% of the total $2.8 billion in funds raised for AI vendor companies in banking, according to the latest report by Emerj Artificial Intelligence Research. Compliance and fraud-related applications make up 32% of the total AI vendor landscape in banking, but banks report these applications as a mere 19% of their current AI initiatives. Bankers today see AI as a risk-reduction technology. Their AI initiatives are likely to yield negative ROI in part because they hold naive views about AI's integration and data requirements. Banks are eager to automate compliance specifically, especially given recent data privacy laws such as GDPR.