Abstract: Techniques for machine learning inferencing endpoint discovery in a distributed computing system are discloses herein. In one example, a method includes searching a database containing machine learning endpoint records having data representing values of execution latency or prediction accuracy corresponding inferencing endpoints deployed in the distributed computing system. The method also includes generating a list of inferencing endpoints matching the individual target values and determining whether a count of the inferencing endpoints in the generated list exceeds a preset threshold. In response to determining that the identified count does not exceed the preset threshold, the method includes instantiating one or more additional inferencing endpoints in the distributed computing system based on the individual target values in the received query.

Abstract: A projection system is provided, and includes: a phase compensation apparatus (101), configured to perform first phase compensation and chromatic aberration correction on a light ray of a received image, and reflect an output light ray of the image to a holographic combiner (102); and the holographic combiner (102), configured to perform second phase compensation on the light ray that is of the image and that is output by the phase compensation apparatus (101). The phase compensation apparatus (101) is utilized to correct at least one of the following aberrations: astigmatism, a spherical aberration, and a coma aberration; and further correct another aberration in combination with the holographic combiner (102), thereby effectively eliminating aberrations and improving imaging quality. The projection system is used in a head-up display system, an augmented reality display system, a head-mounted display device, and the like.

Abstract: Disclosed are a non-to-the-home type device and method for detecting electric meter misconnection based on the PLC communication technology and using multiple frequencies. The detection device includes a master detection device and a slave detection device. The master detection device acquires address information of different electric meters at the outlet terminals of the electric meters by using RS485 communication. The modulation circuit modulates the communication address information of different electric meters into high-frequency carrier signals of different frequencies, and sends the high-frequency carrier signals to user sides by using the PLC communication technology. A line trap is provided between the modulation circuit and the electric meters. The slave detection device has a high-frequency carrier signal detection antenna.

Abstract: Disclosed are a non-to-the-home type device and method for detecting electric meter misconnection based on the PLC communication technology and using multiple frequencies. The detection device includes a master detection device and a slave detection device. The master detection device acquires address information of different electric meters at the outlet terminals of the electric meters by using RS485 communication. The modulation circuit modulates the communication address information of different electric meters into high-frequency carrier signals of different frequencies, and sends the high-frequency carrier signals to user sides by using the PLC communication technology. A line trap is provided between the modulation circuit and the electric meters. The slave detection device has a high-frequency carrier signal detection antenna.