Abstract: A multi-axis turntable includes a base, a rocker arm and a first driving device capable of driving the rocker arm to rock around the first rotation axis on the base. A swing arm and a second driving device, which is capable of driving the swing arm to swing around the second rotation axis on the rocker arm, are provided on the rocker arm. A workbench and a third driving device for driving the workbench to rotate around the third rotation axis are provided on the swing arm. The second rotation axis and the third rotation axis are parallel to each other or on different planes. Compared with the existing double rotating shaft turntable, the multi-axis turntable of the present invention has a cutting tool system of good and stable rigidity.

Abstract: Disclosed are various examples of providing AI accelerator access as a service at the edge. In some embodiments an artificial intelligence (AI) accelerator device identifier is transmitted to register an AI accelerator with the AI broker service. An AI processing request for the AI accelerator is received from a networked computing device. A bus redirect of the AI accelerator to the networked device is enabled. An AI workload is performed controlled by the networked device through the bus redirect.

Abstract: The present disclosure provides a method for obtaining adventitious tetraploid buds of Blumea balsamifera, comprising the following steps: selecting a root segment of diploid B. balsamifera as an explant, culturing the root segment in a chromosome doubling inducing medium supplemented with 0.025-0.1 mg/L 1-naphthaleneacetic acid (NAA), 1.0-2.0 mg/L 6-benzylaminopurine (6-BA), and 90-150 mg/L colchicine, inducing explant cells, and simultaneously doubling chromosomes and differentiating the adventitious buds. The present disclosure fills the blank of using a root of B. balsamifera as the explant and increases effective explant sources during the propagation, proliferation and biotechnological breeding of B. balsamifera. More importantly, root cells of the B.

Abstract: The present disclosure provides a method for obtaining adventitious tetraploid buds of Blumea balsamifera, comprising the following steps: selecting a root segment of diploid B. balsamifera as an explant, culturing the root segment in a chromosome doubling inducing medium supplemented with 0.025-0.1 mg/L 1-naphthaleneacetic acid (NAA), 1.0-2.0 mg/L 6-benzylaminopurine (6-BA), and 90-150 mg/L colchicine, inducing explant cells, and simultaneously doubling chromosomes and differentiating the adventitious buds. The present disclosure fills the blank of using a root of B. balsamifera as the explant and increases effective explant sources during the propagation, proliferation and biotechnological breeding of B. balsamifera. More importantly, root cells of the B.

Abstract: Disclosed are various examples of providing AI accelerator access as a service at the edge. In some embodiments an artificial intelligence (AI) accelerator device identifier is transmitted to register an AI accelerator with the AI broker service. An AI processing request for the AI accelerator is received from a networked computing device. A bus redirect of the AI accelerator to the networked device is enabled. An AI workload is performed controlled by the networked device through the bus redirect.

Abstract: A framework for generating optimized recommendations is described herein. For example, an optimized customer recommendation engine is described herein. Customer data is collected and pre-processed into a data model. Recommendations are calculated and provided by an aggregated method. The aggregated output is generated based on the outputs of a real-time prediction model and an offline modeling process. The real-time prediction model may be an online modeling training technique based on support vector machines (SVM) to classify customers and provide quick recommendations. The offline modeling process may be a learning process based on a back-propagation artificial neural network (BP-ANN) to provide with reliable predictions. Validation may be introduced to evaluate the accuracy of the recommendation model.

Abstract: A framework for generating optimized recommendations is described herein. For example, an optimized customer recommendation engine is described herein. Customer data is collected and pre-processed into a data model. Recommendations are calculated and provided by an aggregated method. The aggregated output is generated based on the outputs of a real-time prediction model and an offline modeling process. The real-time prediction model may be an online modeling training technique based on support vector machines (SVM) to classify customers and provide quick recommendations. The offline modeling process may be a learning process based on a back-propagation artificial neural network (BP-ANN) to provide with reliable predictions. Validation may be introduced to evaluate the accuracy of the recommendation model.

Abstract: This invention relates to a magnetic displacement measurement device, which comprises a ruler body and a vernier, wherein a magnetic main ruler is fixed on the ruler body, and a secondary ruler is fixed on the vernier; the secondary ruler comprises a magnetic sensor and a measurement circuit thereon; said magnetic sensor is composed of magnetoresistances; said measurement circuit comprises at least two measurement bridges composed of magnetoresistances; the movement distance of the vernier is displayed on the display screen of the device after being detected by the magnetic sensor and being processed by the measurement circuit. The magnetic displacement measurement device provided by the invention not only can normally work in the wet and oil polluted environment, but also has the advantages of simple structure, convenient manufacture, low price, low power consumption and high precision.