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Big Data, Security & Remote Ops

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Offshore oil and gas is among the many industries in the midst of a vast technological shift being driven by rapid advances in new digital technologies and methodologies. The list goes on and on. But, how are these technologies being used across the offshore industry today – from exploration to design and all the way through production operations – to boost safety, security and efficiency? AI takes paper to digital In the engineering world, a large amount of data used for design and maintenance activities in both greenfield and brownfield projects exists only in the form of paper drawings. Compared to digital drawings, paper are difficult to extract information from, and converting these drawings – which often contain between 10,000 and 200,000 documents, depending of the size of the project – to digital formats can be extremely time intensive and costly.


Harambe statue pops up on Wall Street opposite the Charging Bull sculpture

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A 7-foot statue of Harambe, the gorilla shot to death at the Cincinnati zoo in 2016, was erected on Wall Street Monday directly across from the famous Charging Bull sculpture. The founders of Sapien.Network, a social networking platform "dedicated to putting the needs and welfare of human beings first," also put thousands of bananas at the base of the Charging Bull, which will be eventually be donated to a local food bank. A statue of Harambe, the gorilla from the Cincinnati Zoo, is unloaded near Arturo Di Modica's "Charging Bull" in New York's Financial District, Monday, Oct. 18, 2021.


Bitcoin Hype Aside, Blockchain For The 'Public Good' Comes To The Rescue

Forbes - Tech

Most of the hype concerning blockchain revolves around its applications in finance and business. The cryptocurrency market and Initial Coin Offerings (ICOs) still dominate discussions about the technology and billions of dollars continue to flow into the space, but the focus has mainly been directed towards blockchain's use as a money-making technology. People tend to gloss over the possible applications for the public good from deploying blockchain or distributed ledger technology (DLT). And, to quote George Washington, the first President of the United States (U.S.) and one of the nation's Founding Fathers: "I have no other view than to promote the public good, and am unambitious of honors not founded in the approbation of my Country." Now this could be viewed as quite unfortunate when considering that the security, transparency and immutability that blockchain technology provides makes it a prime tool for such efforts.


Our world is in the grip of a mental health crisis - here's what we can do to help

#artificialintelligence

The report is part of Sapien Labs' Mental Health Million project, which aims to capture a view of mental health wellbeing around the world. Its findings are based on an online assessment called the Mental Health Quotient (MHQ), which has been completed by around 49,000 people over the course of nine months. Although its focus has been on eight English-speaking countries, Sapien Labs says it has captured responses from people in 130 countries.


Action Concept Grounding Network for Semantically-Consistent Video Generation

arXiv.org Artificial Intelligence

Recent works in self-supervised video prediction have mainly focused on passive forecasting and low-level action-conditional prediction, which sidesteps the problem of semantic learning. We introduce the task of semantic action-conditional video prediction, which can be regarded as an inverse problem of action recognition. The challenge of this new task primarily lies in how to effectively inform the model of semantic action information. To bridge vision and language, we utilize the idea of capsule and propose a novel video prediction model Action Concept Grounding Network (ACGN). Our method is evaluated on two newly designed synthetic datasets, CLEVR-Building-Blocks and Sapien-Kitchen, and experiments show that given different action labels, our ACGN can correctly condition on instructions and generate corresponding future frames without need of bounding boxes. We further demonstrate our trained model can make out-of-distribution predictions for concurrent actions, be quickly adapted to new object categories and exploit its learnt features for object detection. Additional visualizations can be found at https://iclr-acgn.github.io/ACGN/.