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Articles related to "process"


Oklo (YC S14), maker of 'micro' nuclear reactor, aims to prove doubters wrong

  • DeWitte, 34, is impatient because speed is necessary in order for his small, advanced nuclear reactor, an emissions-free technology of a type that has never been deployed, to be ready in time to help the world curb climate change.
  • By contrast, NuScale, an Oregon-based firm on pace this year to be the first small nuclear reactor to get NRC approval, used the traditional application process because it plans to sell power from its 60 MW reactors to utilities.
  • The company, funded by private investors, is planning to build, own, and operate its first nuclear plant itself, functioning as its own utility, a move that DeWitte said will increase its profit margins to compensate for the high, upfront cost of a first-of-its-kind technology.

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Moldova Shuts Down Bootleg Helicopter Factory

  • Moldovan officers raid the clandestine helicopter factory in the eastern Criuleni district.
  • The Moldovan Prosecutor’s Office for Combating Organised Crime and Special Cases and investigators from the Police General Inspectorate closed a clandestine factory in the Criuleni area near the Dniester river in the east of the country on Tuesday that was producing copies of Kamov KA-26 Soviet-type helicopters.
  • The secretly-built helicopters were about to be exported illegally to former Soviet countries, it said.
  • Searches carried out on Tuesday found that there were over ten helicopters on the production line, at various stages of completion.
  • Most of the people suspected of being involved in the production and assembly process, including the organisers and heads of the illegal operation, are residents of Moldova’s breakaway Transnistrian region.
  • All the helicopters were produced without the necessary permits and documents of origin for the parts and equipment used.

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Short-Runs Control Charts (Variables Data) with Python

  • On the Target IX chart, the y-axis shows the deviation from the target, target value (i.e. 0), center line and control limits while the x-axis shows the sample units.
  • On the Z-bar chart, the y-axis shows the normalized deviation from the target, center line (i.e. target value = 0) and control limits while the x-axis shows the sample groups.
  • On the W chart, the y-axis shows the normalized range, center line (i.e. target value = 1) and control limits while the x-axis shows the sample groups.
  • On the Z chart, the y-axis shows the normalized deviation from the target, center line (i.e. target value = 0) and control limits while the x-axis shows the sample units.
  • On the MW chart, the y-axis shows the normalized moving range, center line (i.e. target value = 1) and control limits while the x-axis shows the sample units.

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Short-Runs Control Charts (Variables Data) with Python

  • On the Target IX chart, the y-axis shows the deviation from the target, target value (i.e. 0), center line and control limits while the x-axis shows the sample units.
  • On the Z-bar chart, the y-axis shows the normalized deviation from the target, center line (i.e. target value = 0) and control limits while the x-axis shows the sample groups.
  • On the W chart, the y-axis shows the normalized range, center line (i.e. target value = 1) and control limits while the x-axis shows the sample groups.
  • On the Z chart, the y-axis shows the normalized deviation from the target, center line (i.e. target value = 0) and control limits while the x-axis shows the sample units.
  • On the MW chart, the y-axis shows the normalized moving range, center line (i.e. target value = 1) and control limits while the x-axis shows the sample units.

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Machine Learning at the Edge!

  • So, I have a working machine learning (ML) model that I want to move to the edge.
  • The machine learning model used is based on Fast Depth from MIT.
  • This article is for getting machine learning on the GPU on embedded Linux using OpenCL.
  • Again, I have a Keras model that I want to run as fast as possible on a Qualcomm 820 GPU (actually the Adreno 530 is the GPU) on embedded Linux.
  • Here are the rough steps to get your model running on the GPU (on an embedded Linux system using OpenCL!) This is pretty much a voice-over on their documentation, with a few key hints tossed in.
  • So I had to convert my Keras model to Tensorflow of the right vintage.
  • I was running inside of a ROS node that listened for new camera image events.

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A Deep Dive into V8

  • While the compiler, in fact, generates a whole program at the end of the process, the interpreter works as a program itself that does the job by reading the instructions (usually as scripts, like the JavaScript scripts) and translating them into executable commands.
  • This is not possible with languages like Java, for example, in which everything (classes, method, objects and variables) must be defined before program execution and can’t be dynamically changed after the app starts.
  • Because of its particular nature, the JavaScript interpreters usually perform a dictionary lookup based on a hash function to know exactly where this variable or that object is allocated in memory.
  • When you execute the first line of code in this function, a new hidden class is going to be created based on the previous one, this time _User1.

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Machine Learning at the Edge!

  • So, I have a working machine learning (ML) model that I want to move to the edge.
  • The machine learning model used is based on Fast Depth from MIT.
  • This article is for getting machine learning on the GPU on embedded Linux using OpenCL.
  • Again, I have a Keras model that I want to run as fast as possible on a Qualcomm 820 GPU (actually the Adreno 530 is the GPU) on embedded Linux.
  • Here are the rough steps to get your model running on the GPU (on an embedded Linux system using OpenCL!) This is pretty much a voice-over on their documentation, with a few key hints tossed in.
  • So I had to convert my Keras model to Tensorflow of the right vintage.
  • I was running inside of a ROS node that listened for new camera image events.

save | comments | report | share on


Machine Learning at the Edge!

  • So, I have a working machine learning (ML) model that I want to move to the edge.
  • The machine learning model used is based on Fast Depth from MIT.
  • This article is for getting machine learning on the GPU on embedded Linux using OpenCL.
  • Again, I have a Keras model that I want to run as fast as possible on a Qualcomm 820 GPU (actually the Adreno 530 is the GPU) on embedded Linux.
  • Here are the rough steps to get your model running on the GPU (on an embedded Linux system using OpenCL!) This is pretty much a voice-over on their documentation, with a few key hints tossed in.
  • So I had to convert my Keras model to Tensorflow of the right vintage.
  • I was running inside of a ROS node that listened for new camera image events.

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Damning watchdog report says Boeing shielded key 737 Max details from FAA

  • The report highlights that some FAA employees -- those involved in test flights of the aircraft -- were aware of the changes, and faults the agency for leaving other FAA officials involved in oversight in the dark.
  • The company said in a statement Wednesday morning that it has "cooperated fully and extensively" with the inspector general's office, and noted that the company "has made substantial changes" to both the plane and corporate structure in response to previous investigations related to the Max. The report also scrutinized the delegation of FAA safety reviews to Boeing, a common practice in US airplane design and manufacturing.
  • As the re-certification process for the aircraft is underway, Boeing now supports simulator training for all 737 Max pilots, including those who flew earlier versions of the 737 -- something that pilots union officials said should have been required in the first place.

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Amazon’s New Cloud Service Makes It Easier to Build Mobile Apps

  • This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.
  • Informa PLC's registered office is 5 Howick Place, London SW1P 1WG.
  • Amazon Web Services on Wednesday released Amazon Honeycode, which lets businesses build web and mobile applications without diving into computer programming languages.
  • Technology companies have invested in low-code or no-code in recent years as a workaround for customers that want to give employees the ability to make use of software tools without monopolizing the time of expensive, in-demand engineers.
  • Amazon’s chief rivals in the business of selling rented processing power and software services, Microsoft Corp.
  • AWS said potential uses for Honeycode include process approvals, event scheduling and inventory tracking.
  • Amazon said messaging software builder Slack Technologies Inc. is among the customers planning to use Honeycode.

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