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Introduced Avicena LightBundle Interconnect Technology Introduced Avicena LightBundle Interconnect Technology

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Introduced Avicena LightBundle Interconnect Technology

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The American company Avicena presented the LightBundle high-parallel optical interconnect technology designed for communication between microcircuits at distances up to 10 meters. According to the developers, this technology can find application in distributed systems, means of disaggregating processors and memory, and other advanced solutions for high performance computing.

At the heart of the LightBundle are High Speed ​​GaN Microemitter Arrays (CROME), which are built using the microLED display manufacturing ecosystem. The technology is fully compatible with high-performance silicon chips.

Interconnections are becoming a key bottleneck in computing and networking systems. Highly variable workloads drive the development of tightly interconnected, heterogeneous software-defined clusters of central processing units, GPUs, data processing units, and shared memory units. Artificial intelligence and machine learning are examples of new applications driving the growing demand for extremely high density, low power, and low latency interconnects.

The Avicena LightBundle is claimed to outperform competing technologies in energy efficiency and bandwidth density by 10 to 100 times. More specifically, energy efficiency reaches 0.1 pJ / bit, bandwidth is 10 Tbit / s / mm2… It is important that optical channels operate reliably at temperatures from -40 ° C to + 150 ° C, and are characterized by high reliability.

The manufacturer demonstrated the operation of an array of 200 CROME instruments installed at 30 μm pitch, which were connected to the array of photonic converters using multi-core optical fiber. The data transfer rate in each line was 10 Gbps, that is, the total bandwidth of the channel reached 2 Tbps.

The parallel nature of LightBundle technology works well with parallel chiplet interfaces such as AIB, HBI, and BoW, and can also be used to expand the capabilities of the widespread PCIe, NVLink, DDR and GDDR interfaces, providing low latency communication.

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Gaming

Fan Adds AMD FSR 2.0 ‘Magic Technology’ to Cyberpunk 2077 and Doubles Frame Rates in 4K

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Fan Adds AMD FSR 20 Magic Technology to Cyberpunk 2077

A game modification developer under the pseudonym PotatoOfDoom has unveiled a new modification for Cyberpunk 2077. It adds AMD FSR 2.0 “magic technology” to the game, replacing existing anti-aliasing technologies – Nvidia DLSS and the first version of FSR. The author himself notes that the result was impressive.

Fan Adds AMD FSR 2.0 'Magic Technology' to Cyberpunk 2077 and Doubles Frame Rates in 4K

According to him, when running the game on a system with a GTX 1080 graphics card in 4K resolution, the frame rate rose to 45 FPS, which is twice as much as it was originally. Other users confirm the increase in frame rate. On a GTX 970 at 1080p and maxed out, Cyberpunk runs at 30 FPS. On the 5700XT, with average shadow quality, the figure increased from 50 to 86 FPS.

The author noted that the modification was originally calculated only for the Steam version of Cyberpunk 2077, but it seems that a recent update made it work with the GOG version as well.

AMD FSR 2.0 technology is not yet officially supported in the game, but its appearance will allow the use of older Nvidia video cards older than the 10th series. The developers have not yet announced plans to add a new anti-aliasing system to the game.

Earlier it was reported that AMD FSR 2.0 was added to Unreal Engine 4 and 5 as a plug-in.

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Gaming

Experts from Open AI taught the neural network to play Minecraft exclusively from videos

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Experts from Open AI taught the neural network to play

Researchers at Open AI have taught artificial intelligence how to play Minecraft using only walkthrough videos. The training method was based on preliminary video training (Video PreTraining, VPT), ​​which made it possible to use a large amount of unlabeled data for this. To control AI, I used mouse and keyboard emulators.

Experts from Open AI taught the neural network to play Minecraft exclusively from videos

At the first stage, the neural networks showed 2,000 hours of marked-up video with Minecraft gameplay. Here, the researchers demonstrated which buttons users pressed during the game. This allowed the system to learn to guess which buttons are pressed. At the second stage, the neural network has already viewed 70 thousand hours of unlabeled video (without data on the buttons being pressed). All entries were taken from open sources.

As a result, the neural network was able to learn not only to walk in the game world, but also to extract resources and create objects from them, run, swim, avoid obstacles, hunt animals and get food. AI has also learned to jump up and put blocks under the character to climb higher.

In the third stage, the researchers asked the users who took part in the project to help them. Players have created a new world in Minecraft, collected the necessary resources to start and crafted the essentials. All this was recorded on video, which was then shown by neural networks. Some have even built basic shelters, and the neural network has mastered this skill. The researchers used reinforcement learning, which allowed the AI ​​to eventually create a diamond pickaxe.

Scientists believe that the method of preliminary video training will allow you to quickly train neural networks for the necessary tasks, and will also allow you to train artificial intelligence to use the mouse and keyboard. The source codes of the project have already been published.

Previously, it was reported that Minecraft was completely completed in less than 2 minutes.

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Small flagship with new features. Redmi Note 12 will get an improved camcorder and a flat screen

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Small flagship with new features Redmi Note 12 will get

Lu Weibing, president of Xiaomi Group China and general manager of the Redmi brand, previously confirmed that the Redmi Note series will be updated every six months. At the same time, once a year, the focus will be on performance and new features.

In the first half of this year, Redmi launched the Note 11T Pro series, which was performance oriented. The Redmi Note 12 series, which will be released in the second half of this year, is positioned as a “small flagship” and will focus on new experiences.

A well-known insider under the nickname Digital Chat Station has revealed that the Redmi Note 12 series smartphones will use a flat screen with a hole for the front camera in the central upper part of the display.

Small flagship with new features.  Redmi Note 12 will get an improved camcorder and a flat screen

The Redmi Note 11T Pro series uses an LCD screen, while the Redmi Note 11 Pro series uses OLED screens. In both cases, FullHD + resolution and a high image refresh rate are supported.

In addition, Digital Chat Station reports that Redmi Note 12 will receive a significantly improved image processing system. The Redmi Note 11 Pro+ uses a 108-megapixel Samsung ISOCELL HM2 image sensor with a 1/1.52-inch optical format. Probably, the new smartphone will receive an enlarged image sensor.

Digital Chat Station was the first to accurately announce the specifications and release dates of Redmi K50 and Xiaomi 12.

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