Information Technology

Docking of unmanned Soyuz spacecraft carrying Russia's first humanoid robot to ISS is aborted

The Japan Times

MOSCOW – In a new setback for Moscow, an unmanned spacecraft carrying Russia's first humanoid robot to be sent into orbit failed to dock automatically at the International Space Station on Saturday. "Russian cosmonauts issued a command to abort the automated approach of an uncrewed Russian Soyuz spacecraft to the International Space Station," the U.S. space agency NASA said in a statement. "The craft was unable to lock onto its target at the station," and "backed a safe distance away from the orbital complex while the Russian flight controllers assess the next steps," NASA said. Russian flight controllers had told the ISS crew it appeared the problem that prevented automated docking was in the station and not the Soyuz spacecraft, NASA added. Moscow news agencies quoted the flight center control as saying the Soyuz craft had to retreat to a "secure distance" from the ISS.

Anomaly Detection


Anomaly Detection is the identification of rare occurrences, items, or events of concern due to their differing characteristics from majority of the processed data. Anomalies, or outliers as they are also called, can represent security errors, structural defects, and even bank fraud or medical problems. There are three main forms of anomaly detection. The first type of anomaly detection is unsupervised anomaly detection. This technique detects anomalies in an unlabeled data set by comparing data points to each other, establishing a baseline "normal" outline for the data, and looking for differences between the points.

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Three Steps to Implement AI


A recent #MITSMRChat suggests three best practices for organizations implementing AI. Our recent Twitter chat exploring AI implementation connected more than 150 people wrestling with tough questions surrounding the technology. What do their organizations use AI for? What are the biggest challenges to implementation? And what lessons can we take away from this conversation?

Seeing into the future of your sync network


The demand for exceptionally precise timing is a core component of virtually all infrastructure, from wired and wireless communications to secure defense and banking networks. And when timing sources fall short, there are serious repercussions for network operations. In recent years, Global Navigation Satellite System (GNSS) receivers have emerged as the key source of timing. However, GNSS-based synchronization is fallible and one of the major limitations is that it's only efficient when satellite receivers have a clear sky view. Unsurprisingly, network outages are often traced back to line-of-sight problems with GNSS receivers and antennas.

Update: The Illinois Artificial Intelligence Video Interview Act – Lexology – IAM Network


On August 9, 2019, Illinois Governor J. B. Pritzker signed into law first-of-its-kind legislation regulating the use of artificial intelligence (AI) in Illinois.

Deep Learning in Computer Vision Market fastest hit at a CAGR of 55.7% Forecast by 2019-2026 Research Study By Accenture, Applariat, Appveyor, Atlassian, Bitrise, CA Technologies, Chef Software – Rise Media – IAM Network


Deep Learning in Computer Vision Market fastest hit at a CAGR of 55.7% Forecast by 2019-2026 Research Study By Accenture, Applariat, Appveyor, Atlassian, Bitrise, CA Technologies, Chef Software Rise Media Deep learning is an intense machine learning tool that indicates extraordinary execution in numerous fields.

Artificial Intelligence In IoT Market Growth and Technology Advancement 2019 to 2025


The Artificial Intelligence In IoT market report provides a valuable source of insightful data for business strategists.