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Energy

AI-enabled Drones to Automate Methane Leak Detection

Researchers from the Southwest Research Institute (SwRI) are set to use the Smart Leak Detection System/Methane (SLED/M) technology to detect methane leaks in real time, from aboard a drone. SwRI developed SLED/M and the SLED technology, winner of an R&D 100 Award in 2017, which uses cameras and AI to detect liquid hydrocarbon leaks on pipelines and facilities, such as pump stations. The system identifies small methane leaks, or fugitive emissions, by pairing passive optical sensing data with AI algorithms. SwRI designed SLED/M to pinpoint the smaller methane leaks that typically go unnoticed along pipelines and storage facilities. SLED/M substantially reduces false positives and detects leaks that may go unnoticed by optimising algorithms to reliably detect leaks under a variety of environmental conditions. SwRI's recent drone innovations include adapting technology to autonomously inspect damaged nuclear reactors and other hazardous facilities. SwRI is also pairing satellite data from space with algorithms to identify large methane leaks from midstream facilities and crude oil spills on the ocean surface. Read More

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Healthcare

AI to Help Improve IVF Outcomes

A Toronto-based start-up called Future Fertility unveiled the world’s first fully automated egg-scoring algorithm. The company’s co-founders announced that its neural network, dubbed Violet, can predict successful fertilization with 90.0% accuracy based on a single image. Violet was trained on 20,000 images and de-identified electronic health records from TRIO and a handful of partner IVF clinics. From the records, Violet could learn the characteristics of eggs that fertilized versus ones that didn’t. The researchers validated the egg classifier on roughly 2,000 images that were held out of the initial training set. The process consists of a small camera that attaches to a standard light microscope that takes pictures of each egg. A software package then uploads the images to Future Fertility’s servers for Violet to scan and produce a report. The technology is still in the beta phase and a full commercial launch is expected later this year. Read More

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Naval Security

Now an AI Voice Assistant for Naval Warships!

Canadian Forces are experimenting with an AI-powered voice assistant that could be used on the bridge of combat vessels. Under development in partnership with IBM and Lockheed Martin, the “Boatswain’s Mate” virtual bridge assistant is intended to function in essentially the same way as Apple Inc.’s Siri or Amazon.com Inc.’s Alexa, taking voice commands and then carrying out tasks in response. E.g. If a navy vessel is expecting a helicopter to land on the ship, the captain would normally give the order to prepare for landing to a sailor who would then relay the instruction throughout the ship. The Boatswain’s Mate voice assistant is being designed to replace the sailor who would normally receive those verbal instructions, instead relaying the commands through the ship’s onboard computer system. Running these commands through a computer system creates a data log that can be audited later, and it frees up a sailor who would otherwise be responsible for relaying instructions from the commanding officer. The Canadian navy is at least another year away from conducting tests aboard a warship. Read More

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Waste Management

AI to Estimate Amount of Waste Entering Landfills

Robotics Prairie, a Regina-based technology firm is developing AI that will estimate the weight of solid waste entering the Canadian province of Saskatchewan landfills. The idea is to use machine learning to determine the types of waste and how much of it is being deposited in those landfills in the province not equipped with expensive weight sensors. Prairie Robotics will develop the technology, which will capture data in real time using cameras and automatically generate up-to-date waste reports across the province. This approach will help governments make informed decisions. E.g. If lot of concrete is being received in southwest Saskatchewan and if the municipality is looking for a recyclist, the AI can help them find the closest concrete recycling plant. The data that this type of technology can provide will be extremely useful to determine the effectiveness of waste diversion programs in the province. Read More

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Security

AI to Help Police Find Missing People

Gurgaon-based AI start-up, Staqu is utilizing AI to find missing Indians. The company has come up with a mobile app for the police force that runs on an AI-enabled software to digitize the records of missing people and find them through facial recognition, geo-fencing and hot-spot analysis. Under hot-spot analysis, Staqu’s AI solution studies historical records of missing people — the spots that served as hideouts for child traffickers or kidnappers in the past. This is further coupled with geo-fencing analysis; once a child or a person is reported missing, Staqu’s AI solution starts mulling over the data from nearby areas such as railway stations and bus stops — locations within the six-hour radius or more, depending on the time since the person was reported missing. The quick and real-time analysis by Staqu generates leads for the police forces. The app is currently live with police departments in states of Rajasthan, Uttarakhand, and Uttar Pradesh and has already helped police forces solve over 1,100 high-profile and high-risk cases. Read More

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Social Media

AI Can Use Digital Footprints to Personalise Ads

Scientists have discovered that AI can use digital footprints on Facebook, Twitter, and other online sites to personalise ads based on personality types. The researchers started by using computer algorithms to extract 89 features for images, including hue, saturation, colour diversity, number of people and level of detail. They recruited 745 participants and asked them to rate how much they liked the images on a scale of one to seven. Then the participants completed a personality test that evaluated them in five areas: openness, conscientiousness, extroversion, agreeableness and neuroticism. The researchers used this data to determine which images appealed to each of these five personality traits. Then the researchers used this information to assign personality types for each image. In the next study, the researchers explored whether the personality traits assigned to different images accurately predicted consumer preferences. As expected, matching the “personality” of an image to a participant’s self-reported personality significantly predicted preference ratings. It also showed that the fit between image and personality could influence a consumer’s interest in purchasing a product. Read More

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Miscellaneous

AI to Spot Art Forgery

Art forgery detection can be an expensive and time-consuming task. Now, researchers believe they may have found a way of using AI to solve this problem entirely. A Massachusetts couple trained a neural network to identify the difference between original oil paintings by Dutch painter, Rembrandt Harmenszoon van Rijn and other gifted copycats. The couple showed hundreds of Rembrandt oil paintings, including well-known fakes, to a convolutional neural network. To avoid transferring gigabytes of data in a process that could take forever, the researchers did not feed the AI complete scans of the entire paintings. Instead, they divided it into 13,000 smaller tiles before sending it into the system. The result of the initial test was impressive. The neural network managed to differentiate the fake Rembrandts from the real ones with a 90.4% success rate. However, a zoomed-out view of the painting is necessary to increase the efficacy of the neural network. Read More

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“Quantum Computing, a revolution in technology, has shown great promise towards solving complex computing problems currently outside the capabilities of current computers. Though in its infancy, we at Decimal Point Analytics strongly believe that it is going to grow exponentially in the near future. It holds the potential not only to boost the AI revolution but also transform the way data is synthesized. The articles on Quantum computing will give an insight into the recent developments in this space.”

 
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Quantum Computing

Holographic Tech Could Be Key to Future Quantum Computers

A breakthrough in studying light might just be the ticket to the future of quantum computing. Researchers at EPFL have found a way to determine how light behaves beyond the limitations of wavelengths, opening the door to encoding quantum data in a sci-fi style holographic light pattern. The team took advantage of the quantum nature of the interaction between electrons and light to separate beams in terms energy, not space -- that let them use light pulses to encrypt info on the electron wave and map it with a speedy electron microscope. The approach is still very early and might not reach quantum computers for a long time. However, it does hint at a future where you could have secure yet small quantum processors. Read More

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Decimal Point Analytics Pvt Ltd does not make any recommendation, solicitation, or offer for any securities and is not responsible for suitability of any securities for any purpose, investment or otherwise. It is the sole responsibility of the client, as a professional organization, to exercise professional due diligence in ensuring suitability of investment and ensuring that when the client publishes a part or full report under its own brand, the legal requirements for distribution of such material are complied with in all the jurisdiction in which it is published. Decimal Point Analytics Pvt. Ltd. shall not be responsible for any loss suffered by the user. The returns indicated, including future projections, in any investment report prepared by Decimal Point Analytics Pvt Ltd are not guaranteed in any manner and may not be achieved.

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