Abstract: The present disclosure provides a liquid cooling system for dissipating heat from a heat source, including a liquid cooling module and a liquid leakage detecting module. The liquid cooling module includes a liquid cooling component. The liquid cooling component includes a liquid cooling plate, a liquid supply pipeline and a liquid return pipeline. The liquid supply pipeline and the liquid return pipeline are in communication with the liquid cooling plate receptively. The liquid leakage detecting module includes a liquid leakage detecting device, a monitoring device and a main wire. The liquid leakage detecting device includes a hub and a plurality of liquid leakage detection branches. The liquid leakage detection branches are electrically connected to the hub in parallel, and are provided in the liquid supply pipeline and the liquid return pipeline respectively. The main wire electrically connects the hub to the monitoring device.

Abstract: The present disclosure provides a cooling device, including a cooling plate and a mounting cover. A lower flow channel is provided in the cooling plate, a top of the cooling plate is provided with a water outlet and two openings. The water outlet is located between the two openings. The mounting cover is sealed on the top of the cooling plate. The mounting cover comprises a first mounting cover and a second mounting cover. The first mounting cover and the cooling plate form an intermediate flow channel, the second mounting cover and the cooling plate form a branch flow channel. The intermediate flow channel is in communication with the two branch flow channels, The first mounting cover is provided with a water inlet, and the two branch flow channels are in communication with the lower flow channel through the two openings.

Abstract: A liquid cooling device includes a base plate, a cooling body, and a cover plate. The cooling body includes a frame. A cooling layer is provided in the frame and a reflux layer is provided above the cooling layer. The cooling layer is provided with a plurality of cooling channels extending from a center portion of the cooling body to the frame. The reflux layer is provided with a plurality of reflux channels in communication with the plurality of cooling channels. A periphery of the reflux layer is provided with a drainage flow channel in communication with the plurality of the reflux channels. A center portion of the cover plate being provided with a liquid inlet in communication with the plurality of cooling channels, and the cover plate is further provided with a liquid outlet in communication with the drainage flow channel.

Abstract: A liquid cooling plate assembly is configured to be in thermal contact with a first heat source and a second heat source. The liquid cooling plate assembly includes a cold plate and a plurality of heat pipes. The cold plate includes a plate body and a plurality of fins. The plate body is configured to be in thermal contact with the first heat source and the second heat source, the plate body has a fluid chamber and an inner bottom surface, the inner bottom surface is located at a bottom of the fluid chamber, and the fins protrude from the inner bottom surface. The heat pipes are located in the fluid chamber and thermally coupled to the fins, and the heat pipes are arranged side by side and are in thermal contact with one another.

Abstract: Disclosed are systems and techniques for training personalized language models. The techniques include applying a plurality of first machine learning models to a first input prompt. Each of the plurality of first machine learning models generates a respective reward value of a first plurality of reward values. The techniques include applying a second machine learning model to the first plurality of reward values to obtain first reward value embeddings; applying a third machine learning model to the first reward value embeddings and the first input prompt to obtain a first output response; calculating a first loss based on a comparison between the first output response and the first input prompt; and causing the second machine learning model to be modified based on the first loss.

Abstract: Disclosed are systems and techniques for training machine learning models. The techniques include providing a first data of a first modality as input to a first machine learning model to obtain a first output of a second modality, providing the first output of the second modality as input to a second machine learning model to obtain a second output of the first modality, providing the first data as input to a third machine learning model to obtain a first tensor, providing the second output as input to the third machine learning model to obtain a second tensor, calculating a first loss based on a comparison between the first tensor and the second tensor, and causing the first machine learning model to be modified based on the first loss.

Abstract: In various examples, techniques for accelerating inference in text and speech processing for conversational AI systems and applications is described herein. Systems and methods are disclosed that use one or more techniques, such as token merging, in order to reduce a number of tokens processed by one or more machine learning models. For instance, the machine learning model(s) may process text and, based at least on the processing, generate scores (e.g., attention scores) indicating relationships between tokens associated with the text. The machine learning model(s) may then use the scores to merge at least one pair of the tokens. As described herein, the merging may reduce the overall number of tokens associated with the text while still maintaining the same semantic meaning as the original text. Next, the machine learning model(s) may process the reduce number of tokens in order to determine an output associated with the text.

Abstract: A function verification method of a liquid leak detection module comprises: installing a liquid leak detection cable to a main board; providing liquid to the liquid leak detection cable and obtaining time parameters including warning generation time; determining whether a sensitivity test is passed; disconnecting the liquid leakage detection cable from the main board, and confirming whether the liquid leakage detection module records an absence warning to determine whether an absence test is passed; after confirming that the liquid leakage detection cable is dry and connected to the main board, disabling and re-enabling a component on the main board, and then confirming whether the liquid leakage detection cable records a liquid leakage warning or an absence warning to determine whether a false-positive test is passed; when the sensitivity test, the absence test and the false-positive test are all passed, the function verification is completed.

Abstract: Systems and methods are described for detecting changes at a location based on image data by a mobile robot. A system can instruct navigation of the mobile robot to a location. For example, the system can instruct navigation to the location as part of an inspection mission. The system can obtain input identifying a change detection. Based on the change detection and obtained image data associated with the location, the system can perform the change detection and detect a change associated with the location. For example, the system can perform the change detection based on one or more regions of interest of the obtained image data. Based on the detected change and a reference model, the system can determine presence of an anomaly condition in the obtained image data.

Abstract: This disclosure relates to a liquid cooling assembly that includes a base, a cover, a first connector, and a second connector. The cover is disposed on the base. The cover and the base together form an accommodation space therebetween. The cover has an inlet and an outlet respectively located at two opposite sides of the cover in a direction parallel to a longitudinal direction of the cover. The first connector is disposed to the inlet of the cover. The second connector is disposed to the outlet of the cover.

Abstract: Disclosed herein is a system that comprises an imaging sensor coupled to a robot. The system also comprises an imaging module configured to capture images of a scene within a field of view of the imaging sensor, which is coupled to the robot. The system further comprises an image-processing module configured to process the captured images to identify an object above a horizon in the scene within the field of view of the imaging sensor. The system additionally comprises a tracking module configured to track a trajectory of the object based on the captured images to determine positions of the object relative to the robot.

Abstract: Disclosed are systems and techniques that may generate prompts for language models. The techniques include obtaining a first dataset and a second dataset and training a hierarchical virtual token generator (VTG) model to generate a large language model (LLM) input prompt. Training the hierarchical VTG includes training, based on the first dataset, a first VTG to output a first virtual token and training, based on the second dataset, a second VTG to output a second virtual token embedding. The generated LLM input prompt includes the first virtual token embedding and the second virtual token embedding.

Abstract: Methods and apparatus for operating a mobile robot in a loading dock environment are provided. The method comprises capturing, by a camera system of the mobile robot, at least one image of the loading dock environment, and processing, by at least one hardware processor of the mobile robot, the at least one image using a machine learning model trained to identify one or more features of the loading dock environment.

Abstract: Disclosed herein is a system that comprises one or more imaging sensors coupled to an aircraft and one or more navigation sensors coupled to the aircraft proximate to the one or more imaging sensors. The system further comprises an imaging module configured to capture images of a landing zone for the aircraft while the aircraft is in flight. The system additionally comprises a location determining module configured to associate a corresponding one of a plurality of location data with each one of the captured images. The plurality of location data is determined using one or more navigation sensors coupled to the aircraft. The system also comprises an object-identifying module configured to identify and locate one or more objects within the landing zone, relative to the aircraft, using the captured images and the location data associated with the captured images.

Abstract: Provided are a high-plasticity hot-forming steel with oxidation resistance for automobiles and a hot-forming process thereof, and the hot-forming steel has chemical compositions in mass percentages as follows: C: 0.18%-0.28%, Si: ?0.20%, Mn: 1.20%-2.0%, P: 0.030%-0.080%, S?0.004%, Als: 0.02%-0.06%, Nb: 0.02%-0.06%, Ti: 0.025%-0.045%, V: 0.05%-0.15%, Cr: 0.5%-2.50%, Mo: 0.10%-0.30%, B: 0.0015%-0.0035%, N?0.005%, the balance Fe and inevitable impurities. The hot-forming steel provided in the present invention has high oxidation resistance, high plasticity. The steel does not need atmosphere protection during hot forming, and does not need shot blasting treatment after hot forming.

Abstract: In various examples, systems and methods are disclosed that train a machine learning model(s)—such as a large language model (LLM)—for one or more specific domains. In some embodiments, the machine learning model(s) may include at least a base model(s) as well as additional parts, such as additional layers, associated with the domains for which the machine learning model(s) is being trained. As such, the parts of the machine learning model(s) may be trained separately, such that training data associated with a domain is used to train a part of the machine learning model(s) that is associated with the domain without training the other part(s) of the machine learning model(s). The systems and methods may then use these parts when deploying the machine learning model(s), such as by activating and/or deactivating parts based on the input data being processed.

Abstract: Provided are a high-strength and high-plasticity hot-forming steel with oxidation resistance for automobiles and a hot-forming process thereof, and the hot-forming steel has chemical compositions in mass percentages as follows: C: 0.35%-50%, Si: ?0.20%, Mn: 1.50%-2.50%, P: 0.050%-0.10%, S?0.004%, Als: 0.02%-0.06%, Nb: 0.03%-0.07%, Ti: 0.020%-0.050%, V: 0.08%-0.15%, Cr: 1.50%-3.20%, Mo: 0.10%-0.30%, B: ?0.0040%, N?0.005%, the balance Fe and inevitable impurities. The hot-forming steel provided in the present invention has high oxidation resistance, high strength and plasticity, does not need atmosphere protection during hot forming, and does not need shot blasting treatment after hot forming.

Abstract: In various examples, interactive systems that use neural networks to determine financial investment predictions or recommendations are presented. Systems and methods are disclosed that determine financial predictions or recommendations associated with one or more investments using a neural network(s). The financial predictions may include a predicted movement of an investment (e.g., extremely down, down, preserved, up, extremely up, etc.), a predicted price of an investment (e.g., a future stock price, etc.), a specific investment for a user to buy/sell/trade, and/or so forth. In some examples, the systems and methods may include an interactive system(s), such as a dialogue system(s), that interacts with users to provide the financial predictions.

Abstract: In various examples, interactive systems that use neural networks to determine financial investment predictions or recommendations are presented. Systems and methods are disclosed that determine financial predictions or recommendations associated with one or more investments using a neural network(s). The financial predictions may include a predicted movement of an investment (e.g., extremely down, down, preserved, up, extremely up, etc.), a predicted price of an investment (e.g., a future stock price, etc.), a specific investment for a user to buy/sell/trade, and/or so forth. In some examples, the systems and methods may include an interactive system(s), such as a dialogue system(s), that interacts with users to provide the financial predictions.

Abstract: The present disclosure provides a liquid cooling system for dissipating heat from a heat source, including a liquid cooling module and a liquid leakage detecting module. The liquid cooling module includes a liquid cooling component. The liquid cooling component includes a liquid cooling plate, a liquid supply pipeline and a liquid return pipeline. The liquid supply pipeline and the liquid return pipeline are in communication with the liquid cooling plate receptively. The liquid leakage detecting module includes a liquid leakage detecting device, a monitoring device and a main wire. The liquid leakage detecting device includes a hub and a plurality of liquid leakage detection branches. The liquid leakage detection branches are electrically connected to the hub in parallel, and are provided in the liquid supply pipeline and the liquid return pipeline respectively. The main wire electrically connects the hub to the monitoring device.