Nexen Tire America Inc. has announced the development of an Artificial Intelligence (AI) and big data-driven methodology aimed at reducing tire noise. The big data research for Noise, Vibration and Harshness (NVH) was jointly conducted with Hyundai-Kia Automotive Group and Inha University in Korea. Since 2018, Nexen Tire conducted the joint research with long-standing partner Hyundai-Kia Automotive Group to increase customer satisfaction and improve the environment by reducing noise levels. More importantly, the research is set to make an impact that can help reduce research and development (R&D) time and costs. AI technology and big data are becoming an integral part of the Fourth Industrial Revolution, the future of mobility and the fast-changing automotive industry.

Google has announced it will no longer build custom AI or machine learning tools for oil and gas companies. The move comes in response to a report from Greenpeace called'Oil in the Cloud,' which identified the tech giant as one of three main tech companies helping fossil fuel companies expand their extraction projects. While Google still has a number of current contracts it says it will honor, a company spokesperson said that moving forward it will no longer build custom AI or machine learning algorithms'to facilitate upstream extraction in the oil and gas industry.' The spokesperson pointed out that the company receives just $65million in annual revenue through Google Cloud from oil and gas companies, less than one percent of the total revenue from cloud services. Greenpeace was encouraged by Google's response and called on other major tech companies to follow suit, saying it has already had'productive conversations' with many.

Despite years of hype (and plenty of worries) about the all-conquering power of Artificial Intelligence (AI), there still remains a significant gap between the promise of AI and its reality for business. Tech firms have pitched AI's capabilities for years, but for most organisations, the benefits of AI remain elusive. It's hard to gauge the proportion of businesses that are effectively using artificial intelligence today, and to what extent. Adoption rates shown in recent reports fall anywhere between 20% and 30%, with adoption typically loosely defined as "implementing AI in some form". A survey led by KPMG among 30 of the Global 500 companies found that although 30% of respondents reported using AI for a selective range of functions, only 17% of the companies were deploying the technology "at scale" within the enterprise.

Algae, that green scum often seen on the surface of ponds, and credited with harmful ocean algal blooms that kill ocean life might just hold an important key to addressing climate change. Algae, much like trees, uses carbon dioxide to conduct photosynthesis, sequestering CO2 as it grows. Hypergiant, an AI products and solutions company, is harnessing this unique power of algae in its latest technology, the EOS bio-reactor which uses AI to optimize algae growth and carbon sequestration. Its bio-reactor is built to hook up to HVAC systems found in large industrial buildings, skyscrapers and apartment buildings which are some of the biggest contributors to global warming from the CO2 emitted through their energy usage and air conditioning systems. The science is clear that we must not only cut our carbon emissions as a means to stop the irreversible harm of climate change and limit global warming but that we also need to take carbon out of the atmosphere to stay within the stated target 1.5 C of the Paris Climate Agreement.

AI is helping Royal Dutch Shell locate new oil and gas sources. One of the company's 280 AI projects is aimed at helping the company find new sources of oil and gas by cleaning up data from seismic surveys, which are used to create images of rock formations that in turn help scientists locate oil deposits below the ocean floor. The problem, historically, has been that these surveys don't paint a clear picture of what rock formations look like. Underwater currents and other factors produce noisy data that affects the images. Shell created machine-learning algorithms, based on images the company has cleaned, to filter out that noise.

Using the CB Insights platform, we track where AI is heating up, from health to entertainment. Since 2013, over 3.6K AI startups have raised equity funding globally. The majority of these companies -- like unicorns UiPath, Automation Anywhere, and Face -- sell AI software-as-a-service. Others use AI to develop their core products, including Indigo Agriculture, which leverages machine learning to develop microbial seed treatments. Some other startups -- such as Graphcore, Habana, and Cerebras -- focus on hardware to support AI workloads.

Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier. Through AI and ML, your business will benefit as it becomes more efficient at its operations and eliminates those mundane tasks that seem to be slowing you down. Additionally, AI-powered tools and automated systems can help your company improve the use of its resources, with visible effects on your bottom line. Fifteen members of Forbes Technology Council discuss some of the latest applications they've found for AI/ML at their companies.

In today's online market place, visual marketing is an integral part of reaching out to customers. Research show that the human brain is more visual. Up to 80% of people remember what they see compared to only 20% of what they read. This is one of the main reasons why visual content resonates more than written content. It has a greater chance of going viral.

OLD hands at some water companies still on occasion whip out a pair of dousing rods or find a Y-shaped twig to search for a leak in an underground pipe. Dousing, or water witching as it is known in America, has no basis in scientific fact. A somewhat more reliable method involves using acoustic equipment called geophones to listen for escaping water. The trouble is it takes an experienced ear to distinguish the sound of a leak from the normal gurgle of water passing though pipes, let alone to predict from that sound where any trouble might be found. As this is a problem of pattern recognition, which is something that artificial intelligence can be good at, a Brazilian startup has used AI to develop an acoustic device that makes tracing leaks a lot easier.

In the world of technology, the mantra "innovate or die" is truer for organizations than ever, and artificial intelligence (AI) is redefining industries by providing greater personalization to users, automating processes, and disrupting how we work. Like the adoption of cloud computing five years ago, the adoption of AI and the speed of its deployment varies according to industry. Here we look at some of the places where dispution from AI is already being felt. Alexey Sapozhnikov, co-dounder and CTO of Tel Aviv, Israel-based prooV points out that while virtually every industry is embracing AI, it's the sectors that are stymied by well-worn processes and regulations -- such as healthcare and government -- that are likely to lag in AI adoption. "From the Food and Drug Administration's stringent policies surrounding AI diagnosis software to developing complex proposals for government cybersecurity challenges, these processes can pose a huge stumbling block for organizations.