Chinese semiconductor thread II

[tokenanalyst]

Hesai Technology: No. 1 in the world in terms of total patents for LiDAR, with forward-looking layout of SPAD technology​

The number of patents is an important indicator to measure a company's technological innovation capabilities. As of the end of December 2024, Hesai Technology has accumulated nearly 1,800 authorized patents and patent applications worldwide . According to the authoritative global patent search database Zhihuiya, Hesai Technology has more than 1,500 global public patents, more than 600 global authorized patents, more than 200 PCT international applications, a total of 992 domestic patent applications, and more than 500 domestic authorized patents. Hesai Technology ranks first in the global LiDAR industry in terms of the number of global and domestic patent disclosures, the number of authorized patents, and the number of PCT international applications .

SPAD Technology Foresight

Possess the earliest and deepest technical reserves

SPAD (Single Photon Avalanche Diode) technology is one of the core components of digital LiDAR , representing the key direction of the future development of the LiDAR industry and an important part of Hesai's patent layout. As early as the iPhone 12 Pro series in 2020, Apple introduced SPAD-based LiDAR technology in its devices to achieve 3D scanning and augmented reality (AR) functions.

The biggest advantage of SPAD is its extremely high sensitivity to photons, which can detect single photons under extremely low light conditions. Even in the dark night, the SPAD detector can accurately capture weak light, which helps the LiDAR achieve 24-hour all-weather perception . At the same time, the extremely high sensitivity means that more extreme distance measurement can be achieved. The next generation of LiDAR using Hesai's self-developed SPAD array detector can achieve a distance measurement capability of 300 meters @ 10% reflectivity .

In addition, compared with traditional lidar technology, SPAD technology has higher pixel density, can minimize noise, and has advantages such as ultra-high-speed waveform perception, providing more reliable perception capabilities for autonomous driving and robotic applications.​

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[tokenanalyst]

New progress has been made in the development of a three-dimensional information sensing system based on reconfigurable heterojunction phototransistors at the Institute of Semiconductors​

In recent years, three-dimensional information perception has broad application prospects in machine vision, deep space imaging and medical diagnosis. Three-dimensional information perception that includes object depth information can more comprehensively perceive the shape and optical characteristics of objects. However, three-dimensional perception systems usually require additional integration of active light sources or passive multi-cameras to achieve depth dimension perception and reconstruction by recording photon flight time or through structured light diffraction, phase distribution and multi-angle reflection. This will lead to imaging systems facing challenges such as complex integration and high-cost preparation, which restricts the development of micro-integration of three-dimensional imaging systems.

In view of this, the team led by Researcher Wang Lili from the Institute of Semiconductors, Chinese Academy of Sciences, has developed a new polarity-conversion heterojunction phototransistor integrated array for three-dimensional information perception and reconstruction (Figure 1) . The basic pixel unit of the phototransistor integrated array consists of a reconfigurable four-terminal heterojunction and a gated transistor. Through the control of the bottom gate of the heterojunction and the activation control of the electrodes on both sides of the semiconductor, the photoelectric heterojunction can achieve an electrical polarity transition from n-type to bipolar or p-type, and enable the photoelectric heterojunction to have the dual functions of constant response perception for static imaging and time-resolved response enhancement for dynamic imaging, forming the device characteristics and functional basis for implementing three-dimensional perception reconstruction.

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The photoelectric heterojunction transistor array uses a four-terminal architecture array design to realize the perception and memory of dynamic and static object morphology, and uses the parallax principle to construct a depth field reconstruction method. Based on the fast detection algorithm of scale-invariant feature transition (SIFT), the motion information of objects perceived and remembered by the photoelectric heterojunction integrated array is reconstructed in three dimensions. The photoelectric heterojunction transistor integrated array can realize functions such as multi-perspective three-dimensional morphological reconstruction, two-dimensional depth field mapping, and multi-perspective coupled reconstruction of objects. In addition, the research team used the photoelectric heterojunction integrated system to realize the perception and reconstruction of the eyeball morphology, and verified the feasibility of the system's three-dimensional reconstruction function in the detection of corneal lesions.

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[tokenanalyst]

Before LLMs was a thing, all hope of ASI was into innovative hardware.

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[tokenanalyst]

 

[tokenanalyst]

Spectrum suppression of high-peak-power pulsed single-frequency fiber MOPA by manipulation of pulse shape and corresponding nonlinear phase shifting​

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Abstract​

In this paper, the spectrum suppression of a nanosecond pulsed single-frequency all-fiber amplifier was realized by manipulation of pulse shape and self-phase-modulation-induced nonlinear phase shifting. Near-transform-limited linewidth of 80MHz was obtained at a peak power of 37.5kW for a 7.9-ns pulsed single-frequency laser at 1064nm.

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[tphuang]

Feiteng series domestic CPU sales exceed 10 million units

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Missed this from a while back

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Phylum finally launched D3000 CPU with 8 core FTC862 core operating at 2.5 GHz. I'm assuming this uses SMIC 7nm process.

It also integrated with DeepIn V23 back in August

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