Facebook's experiments in internet connectivity haven't always gone well. But its latest innovation seems genuinely cool. Facebook Connectivity announced Monday that it has developed a robot that can travel along power lines deploying a thin yet durable fiber-optic cable of Facebook's own creation. It claims that this system, which utilizes the electrical grid to build out internet infrastructure, will be cheaper than the existing methods of laying internet cables, particularly in developing countries. That contributes to Facebook Connectivity's overall goal of increasing internet access.
Bluware Corp, the digital innovation platform that enables the oil and gas industry to accelerate digital transformation initiatives using deep learning, is pleased to announce a new agreement with BP (NYSE: BP). Bluware's technology will help BP to improve quality and speed when delivering seismic interpretation products. "BP recognizes the significant impact advances in digital technology can bring and we are pleased to implement Bluware InteractivAI, a new and innovative deep learning technology, augmenting our geoscientists' ability to accelerate subsurface data interpretation," says Ahmed Hashmi, Upstream Chief Digital and Technology Officer at BP. Large seismic data sets are difficult to move and use in workflows and time consuming to interpret. InteractivAI, powered by Bluware Volume Data Store (VDS) cloud-native data environment, enables the acceleration of detailed interpretation tasks. With this tool geoscientists can now train and correct deep learning results interactively, significantly improving structural interpretation workflows.
The human brain has advanced over time in countering survival instincts, harnessing intellectual curiosity, and managing authoritative ordinances of nature. When humans got an idea about the dynamics of the environment, we started with our quest to replicate nature. While the human brain discovers ways to go beyond our physical capabilities, the combination of mathematics, algorithms, computational methods, and statistical models accumulated momentum after Alan Mathison Turing built a mathematical model for biological morphogenesis, and published a seminal paper on computing intelligence. Today, AI has developed from data models for problem-solving to artificial neural networks, a computational model predicated on the structure and functions of human biological neural networks. The brain, customarily perceived as an organ of the human body, should be understood as a biologically predicated form of artificial intelligence (AI).
Robotmaker Boston Dynamics has finally put its four-legged robot Spot on general sale. After years of development, the company began leasing the machine to businesses last year, and, as of today, is now letting any US firm buy their very own Spot for $74,500. It's a hefty price tag, equal to the base price for a luxury Tesla Model S. But Boston Dynamics says, for that money, you're getting the most advanced mobile robot in the world, able to go pretty much anywhere a human can (as long as there are no ladders involved). Although Spot is certainly nimble, its workload is mostly limited right now to surveying and data collection. Trial deployments have seen Spot create 3D maps of construction sites and hunt for machine faults in offshore oil rigs.
Artificial Intelligence (AI) is now enjoying massive acceptance from consumers and organisations worldwide. Hence, more and more companies are stepping up their game by adopting Artificial Intelligence into their functionalities. In this article, we will discuss the absolute wins of the year 2019 in terms of breakthrough AI solutions and their impact. Here are some of the AI success stories and top news for the year 2019. In May 2019, Samsung created a system that could transform facial images into a video sequence.
Earthquakes claimed thousands of lives every decade. Of all-natural calamities, earthquake is the one which is most hard to predict. Even if a man succeeded in doing so, his predictions are vaguely based on the behavior of animals' minutes before the seismic waves hit that geographic region. However, with artificial intelligence algorithms can help us in receiving early warnings of a potential earthquake and be prepared accordingly. Using machine-learning models, seismologists can analyze hordes data on thousands of earthquakes.
A strange'swarm' of small earthquakes in California that lasted nearly four years was triggered by fluid spilling into the fault system from underground reservoirs, scientists say. The naturally occurring injection of underground fluid drove the earthquake swarm near Cahuilla in Southern California, which occurred in bursts around the region from early 2016 to late 2019. US scientists have made their conclusions based on earthquake detection algorithms that catalogued more than 22,000 individual seismic events that made up the'swarm'. Using machine learning to plot the location, depth and size of the tremors, the researchers generated a 3D representation of the underlying fault zone. The results suggested dynamic pressure changes from natural fluid injections deep below the surface largely controlled the prolonged evolution of the Cahuilla swarm.
The oil and gas industry is turning to AI to help cut operating costs, predict equipment failure, and increase oil and gas output. A faulty well pump at an unmanned platform in the North Sea disrupted production in early 2019 for Aker BP, a Norwegian oil company, according to an account in the Wall Street Journal. The company installed an AI program that monitors data from sensors on the pump, flagging glitches before they can cause a shutdown, stated Lars Atle Andersen, VP of operations for the firm. Now he flies in engineers to fix such problems ahead of time and prevent a shutdown, he stated. Aker BP employed a solution from SparkCognition of Austin, Texas.
Schlumberger is a large, multinational corporation concerned primarily with the measurement, collection, and interpretation of data. For the past fifty years, most of the activities have been related to hydrocarbon exploration. The efficient location and production of hydrocarbons from an underground formation requires a great deal of knowledge about the formation, ranging in scale from the size and shape of the rock's pore spaces to the size and shape of the entire reservoir. Schlumberger provides its clients with two types of information: measurements, called logs, of the petrophysical properties of the rock around the borehole, such as its electrical, acoustical, and radioactive characteristics; and in terpretations of these logs in terms of geophysical properties such as porosity and mineral composition. Since log interpretation is expert skill, the emergence of expert systems technology prompted Schlumberger's initial interest in Artificial Intelligence.
The European Space Agency (ESA) has enlisted Airbus to help it build a Mars rover called'Fetch' that will find and retrieve rock samples on the Red Planet. The defence and space arm of the aerospace corporation won the upcoming phase of the contract to develop the robot as part of the'Mars Sample Return' mission. Fetch will travel across the surface of the Red Planet in 2028 collecting packaged rock samples left behind by the NASA's Perseverance rover. The four-wheeled ESA rover will ultimately transport these samples to a'Mars Ascent Vehicle' which will carry them into orbit for collection by another ESA spacecraft. The European Space Agency (ESA) has enlisted Airbus to help it build a Mars rover called'Fetch' that will find and retrieve rock samples on the Red Planet.