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METIS lands Neptune Lines fleet deal for AI-powered analytics

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Neptune Lines PCTCs feature METIS Ship Connect – the automated data acquisition solution whose accuracy is approved by Lloyds Register. The METIS platform uses a network of Wireless Intelligent Collectors to harvest machinery, navigation and operational data regardless of equipment supplier. Its ship performance analysis also integrates AIS data, data fetched from vessels' daily / arrival / departure regular reporting and weather forecasts to provide services such as automated noon reporting, analysis of technical and operational domains and weather-related reporting. Outputs include live dashboards showing the condition of main engines, diesel generators, ballast water treatment systems and other machinery as well as power and fuel consumption. However, the METIS platform also allows Neptune Lines management to visualize KPIs such as power vs speed under the full ship speed range and in all weathers using machine learning models and run'what if' routing scenarios to weigh up consequences for fuel and arrival times.


AWS expands on SageMaker capabilities with end-to-end features for machine learning – TechCrunch

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Nearly three years after it was first launched, Amazon Web Services' SageMaker platform has gotten a significant upgrade in the form of new features making it easier for developers to automate and scale each step of the process to build new automation and machine learning capabilities, the company said. As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications easier for its customers. "One of the best parts of having such a widely-adopted service like SageMaker is that we get lots of customer suggestions which fuel our next set of deliverables," said AWS vice president of machine learning, Swami Sivasubramanian. "Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug and run custom machine learning models with greater visibility, explainability, and automation at scale." Already companies like 3M, ADP, AstraZeneca, Avis, Bayer, Capital One, Cerner, Domino's Pizza, Fidelity Investments, Lenovo, Lyft, T-Mobile, and Thomson Reuters are using SageMaker tools in their own operations, according to AWS.


The Morning After: SpaceX lines up a big test for the Starship

Engadget

The vehicle Elon Musk sees as the key to fast travel around the Earth and multiplanetary living has only taken short hops so far, but its next trip will reach 50,000 feet. The plan is to test out its aerodynamic capabilities and attempt a landing flip maneuver. SpaceX's stream begins at 7 AM, but stay tuned for more information on exactly when the test will go down if you want to watch live -- this could be historic. After multiple delays, CD Projekt Red's highly anticipated RPG (based on the table-top game of the same name) arrives on PC and consoles, and Jessica Conditt has spent about 20 hours in the world on Night City. The game is too deep for that to give a comprehensive view of what it contains (she took six hours to get beyond the prologue and meet Keanu Reeves) but more than enough to see if its 80s-tinged vision of the future holds up.


Digital stethoscope uses artificial intelligence for diagnosing lung abnormalities

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Stethoscopes are a ubiquitous and cost-effective tool for medical diagnosis, but they open the door to subjectivity and can experience high levels of environmental noise. This makes it difficult to properly diagnose lung abnormalities, like COVID-19, by listening to sounds from the body. James West, at Johns Hopkins University, has been developing a digital stethoscope equipped with artificial intelligence for accurate lung diagnoses. He will discuss its opportunities and obstacles at the 179th ASA Meeting.


NTT Co-authored Papers at NeurIPS to Advance Machine Learning Efficiency and Performance

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"There is no better place to explore the overlap between machine learning and computational neuroscience than the annual NeurIPS event," said Yoshihisa Yamamoto, PHI Lab Director. "We are excited to see the latest paper by Dr. Tanaka and his Stanford colleagues, as well as those by our colleagues at the NTT Software Innovation Center and NTT Communication Science Laboratories and expect the fields of neural networking and machine learning will benefit from the efficiencies and expanded capabilities that they are proposing." This year's seven-day virtual NeurIPS event includes an expo, conference sessions, tutorials and workshops. The authors of these papers will participate in the event through poster and short recorded presentations. A follow-up to the "Pruning Neural Networks" paper, as noted above, will be presented at one of the event's workshops.


Timnit Gebru's team at Google is going public with their side of the story

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Google employees who worked with Timnit Gebru are coming out publicly to dispute claims against the star AI ethics researcher. On Monday, the team published a letter on the Google Walkout Medium account firmly stating that Gebru was fired and did not resign as Google's head of artificial intelligence, Jeff Dean, said. They also said the publication review policy that Gebru was supposed to follow was applied "unevenly and discriminatorily." Gebru's dismissal has been framed as a resignation, but in Dr. Gebru's own words, she did not resign," the letter says. It notes that Gebru asked for certain conditions to be met in order for her to stay at Google, including transparency around who wanted her paper retracted.


Apple Music arrives on Google's smart speakers and displays

Engadget

It's hard to imagine Apple and Google playing nice on a device, but that can be the case starting today. That is, for music streaming, anyway. Google announced today that Apple Music is now rolling out to Assistant-enabled speakers and displays like the Nest Audio, Nest Hub Max, Nest Mini and more. Apple Music subscribers can ask the Assistant to find and play your songs, albums and playlists using their voice after they link their accounts in the Google Home app. You'll be able to set Apple Music as your default music streaming service, and then when you ask your speaker to "play K-Pop Hits playlist," it will stream from Apple's library.


Moody's Analytics Wins Best AI Technology Initiative for QUIQspread

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Moody's Analytics has won Best AI Technology Initiative at the 2020 American Financial Technology Awards. We earned this award for our QUIQspread solution, which helps financial institutions automate the spreading of financial statements. This press release features multimedia. Every bank has its own unique lending criteria. But all banks start the loan origination review process by gathering and standardizing the loan recipient's financial records, a process known as financial spreading.


iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes

arXiv.org Artificial Intelligence

We present iGibson, a novel simulation environment to develop robotic solutions for interactive tasks in large-scale realistic scenes. Our environment contains fifteen fully interactive home-sized scenes populated with rigid and articulated objects. The scenes are replicas of 3D scanned real-world homes, aligning the distribution of objects and layout to that of the real world. iGibson integrates several key features to facilitate the study of interactive tasks: i) generation of high-quality visual virtual sensor signals (RGB, depth, segmentation, LiDAR, flow, among others), ii) domain randomization to change the materials of the objects (both visual texture and dynamics) and/or their shapes, iii) integrated sampling-based motion planners to generate collision-free trajectories for robot bases and arms, and iv) intuitive human-iGibson interface that enables efficient collection of human demonstrations. Through experiments, we show that the full interactivity of the scenes enables agents to learn useful visual representations that accelerate the training of downstream manipulation tasks. We also show that iGibson features enable the generalization of navigation agents, and that the human-iGibson interface and integrated motion planners facilitate efficient imitation learning of simple human demonstrated behaviors. iGibson is open-sourced with comprehensive examples and documentation. For more information, visit our project website: http://svl.stanford.edu/igibson/


Artificial Intelligence Collaboration Seeking to Hasten COVID-19 Insights

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