Samsung – The Wall MicroLED frame-less TV
/ hardware, production

Samsung The Wall

 

 

The Wall TV can be configured to sizes ranging from 146 inches to 292 inches diagonally and uses MicroLED technology instead of OLED or traditional LED.

MicroLED delivers many of the benefits you’ll find in OLED, including perfect blacks and eye-popping colors, but the set also boasts 1,600 nits of brightness. That’s brighter than today’s OLED sets.

Currently, Samsung is offering two models of The Wall, or rather the individual panels that make up The Wall, the IW008J and the IW008R. While Samsung doesn’t list prices for these panels online, other resellers are listing the modules for $16 to $23 thousand dollars each.

These individual modules measure 31.75 x 17.86 inches, but have an individual resolution of 960 x 540 pixels. In order to enjoy the same 3840 x 2160 resolution you’ll get on a standard 4K TV, you’ll need to buy 16 of these panels, to set up in a 4 x 4 configuration that measures 146 inches diagonally.

If you’re in the market for a microLED TV, and are comfortable spending upwards of $300,000 to get the same 4K resolution that the best cheap 4K TVs provide, you’ll need to contact Samsung directly to order products and arrange custom installation.

 

Because The Wall is made up of borderless tiles, the modular design allows additional tiles to be added, making this even-bigger version of The Wall possible.

 

https://www.tomsguide.com/us/samsung-the-wall-tv-release-date,news-27356.html

Smart Mirror Alexa Touchscreen (with Face ID) using Raspberry Pi 4
/ hardware

 

 

 

Part List (Essentials):
———————————————--
Mirror: https://amzn.to/2YZBViO
Mirror 2: another mirror
IR Frame: https://amzn.to/3d0HFwW
Monitor: https://amzn.to/3ccTQXh
(You may need to shop around)

 

———————————————--
Part List (Optional):
———————————————--
LED Strip Lights: https://amzn.to/2WzUIhQ

 

—————————————-
Links from Video
—————————————-
Download Raspberry Pi OS: https://www.raspberrypi.org/
MagicMirror: https://magicmirror.builders/
PM2 Auto Starting MagicMirror: https://github.com/MichMich/MagicMirror/wiki/Auto-Starting-MagicMirror

 

Mirror Modules:
Spotify: https://github.com/bugsounet/MMM-Spotify
Face Recognition: https://github.com/EbenKouao/MMM-Face-Recognition-SMAI
Smart Touch: https://github.com/EbenKouao/MMM-SmartTouch
Web Fluid Simulation: https://paveldogreat.github.io/WebGL-Fluid-Simulation/

 

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Raspberry Pi – introduction and basic projects
/ hardware, production, software

Connect through SSH on windows
https://www.putty.org/

Connect through Desktop
Remote Desktop

Common commands
> sudo raspi-config
> sudo apt-get update
> sudo apt-get upgrade
> ifconfig
> nano test.py
> wget https://path.to.image.png
> sudo apt-get install git
> git clone https://REPOSITORY
> sudo reboot
> suto shutdown -r now (reboot after shutdown)
> cat /etc/os-release

 

 

 

Starting kits:

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NVIDIA Real Time Marbles RTX through the Omniverse Platform
/ hardware, production

Marbles runs on a single Quadro RTX 8000 simulating complex physics in a real-time ray traced world.

(more…)

HDMI Video Wall Processor
/ hardware, production

 

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New Apple iPad Pro with LIDAR scanning support
/ hardware, VR

www.zdnet.com/article/apples-new-ipad-pro-arrives-with-updated-chip-and-lidar-scanner-for-ar-apps/

 

www.apple.com/newsroom/2020/03/apple-unveils-new-ipad-pro-with-lidar-scanner-and-trackpad-support-in-ipados/

 

The LiDAR scanner — a technology better known in self-driving cars — measures the distance to surrounding objects up to 5 meters away. New depth frameworks in iPadOS combine depth points measured by the LiDAR scanner, data from both cameras and motion sensors, and is enhanced by computer vision algorithms on the A12Z Bionic for a more detailed map of a scene. The aim is to boost the quality of AR experience created on the iPad Pro.

 

Apple said existing ARKit apps will automatically get instant AR placement, improved motion capture and people occlusion.

 

The tablet will have a 10-hour battery life, a 12MP Wide camera which can capture 4K video, and a 10MP Ultra Wide camera that zooms out two times to capture a much wider field of view.

 

Apps like DoubleTake by FiLMiC Pro, available next month, leverage the pro cameras and studio-quality mics to turn iPad Pro into a mobile video production studio.6

 

With iPadOS 13.4, Apple brings trackpad support to iPad, giving customers an all-new way to interact with their iPad.

CoreWeave Concierge Render – online rendering farm service
/ hardware, production

www.conciergerender.com/

Concierge Render allows you to render animations in parallel on up to 64 nodes, harnessing the power of over 500 GPUs per job at prices as low as $0.35 per GPU per hour. Eeve’s at $2 per server per hour, up to 48 servers per hour.

With over 40,000 GPUs available, Concierge Render can meet most projects’ size and deadlines.

All frames are processed simultaneously. Up to 520 GPUs will process each project with unprecedented speed. Still images are processed on multi-GPU servers and animations are rendered over a proprietary distributed GPU network.

Concierge Render offers a system with zero queue so a project starts rendering immediately. ​

Use a USB keychain as a scratch disk on Photoshop
/ hardware, software

Use this at your own risk. ;)
The key is to change the USB from a “USB drive” to “local disk” type.

 

Steps:
woshub.com/removable-usb-flash-drive-as-local-disk-in-windows-7/

 

To force the driver update:
appuals.com/how-to-fix-the-third-party-inf-doesnt-contain-digital-signature-information/

 

Zip file attached to this post.

the most amazing drone holographic light show in China
/ cool, hardware, production

超震撼无人机编队表演集合

 

Single vs Dual Processor Servers – CPUs, cores and threads
/ hardware

phoenixnap.com/kb/single-vs-dual-processors-server

 

The backbone of any server is the number of CPUs that will power it, as well as the actual model and the type of the CPU. From that point, you add the needed amount of RAM, storage and other options that your use case requires.

 

A CPU (Central Processing Unit) is a piece of hardware responsible for executing tasks from other parts of a computer.

 

A Core is a physical part of a CPU. Cores act like processors within a single CPU chip. The more cores a CPU has, the more tasks it can perform simultaneously. Virtually all modern CPUs contain multiple cores now. This enables the execution of multiple tasks at the same time.

 

Threads are like paths your computer can take to process information.
If a CPU has six cores with two threads per core, that means there are twelve paths for information to be processed. The main difference between threads and physical cores is that two threads cannot operate in parallel. While two physical cores can simultaneously perform two tasks, one core alternates between the threads. This happens fast so that it appears that true multitasking takes place. Threads basically help the cores process information in a more efficient manner. That being said, CPU threads bring actual, visible performance in very specific tasks, so a hyper-threaded CPU might not always help you achieve better results.

 

Single processor servers run on a motherboard with one socket for a CPU. This means that the highest core count CPU available on the market determines the maximum core count per server. RAM capacity constraints with single CPU configurations remain one of their biggest drawbacks.

 

The most apparent distinction between single and dual-processor servers is that the motherboard has two CPU sockets instead of one. This is followed by additional benefits such as the massive amount of PCI lanes, two separate sets of cache memory and two sets of RAM slots. If the specific motherboard has 24 memory slots, 12 slots belong to the first CPU and the other 12 to the other CPU. In cases where only one CPU slot occupied, the CPU cannot use the other set of RAM sticks. This rarely happens since dual processor servers always have both slots occupied. Dual processor servers and multiprocessor systems, in general, are the best options for space-restricted environments.

 

While dual CPU setups pack enormous core counts and outshine single processor servers by a large margin, some tests have shown only a marginal performance increase over single CPU configurations with similar core count and clock speeds per chip. This refers to the circumstances where two CPUs worked on the same data at the same time.

 

On the other hand, we see immense performance boosts in dual processor servers when the workload is optimized for setups like these. This is especially true when CPUs carry out intensive multi-threaded tasks.

 

www.techsiting.com/cores-vs-threads/

 

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