CMS Cameron McKenna Nabarro Olswang LLP

The disclosed multiple port pipette tip comprises four port adapters releasably engageable automated pipette system shafts. The adapters each include gas permeable membranes and are collectively connected to an elongate tubular body to form a fluid cavity and an end opening to form a pipette tip to engage a sample fluid. The gas permeable membranes prevent sample liquid from contaminating the pipette system shafts. The adapters allow the multiple port pipette tip to draw, retain, and dispense a greater volume than that of a standard single port pipette tip.

Systems and methods are disclosed herein for improvements to memory registration. In an example system, a set of page table entries (PTEs) are reserved in a first network interface device of a first computing device. In the example, each page table entry comprises a placeholder for a memory pointer. A page in the physical memory is pinned by a kernel of the first computing device. In one example, the request to pin the page in the physical memory originates from an application seeking to perform an RDMA operation. A page table entry of the set of PTEs in the network interface device is configured with information indicative of a physical memory address corresponding to the pinned page. A remote direct memory access operation is subsequently performed over a network based on the page table entry.

Methods, apparatuses, and products for scheduling tasks for distributed query execution, including: assigning, to a plurality of tasks associated with one or more database queries, a corresponding priority value based on at least one of: an estimated runtime for each of the plurality of tasks and one or more task dependencies; and generating a schedule for executing the plurality of tasks in the distributed computing system by iteratively scheduling, for each task of the plurality of tasks, execution of a highest priority pending task able to be executed in a distributed computing system, wherein the highest priority pending task is included in a pending subset of the plurality of tasks pending execution in the distributed computing system.

Methods, apparatuses, and products for cardinality estimation feedback for expressions in a database query, including: calculating, for one or more expressions of a database query, a default estimated cardinality and an actual cardinality, wherein the default estimated cardinality is based on an assigned cardinality estimation (CE) model comprising a default CE model, wherein the actual cardinality is based on an execution of the database query; calculating, for the one or more expressions of the database query and based on the default estimated cardinality and the actual cardinality, a default cardinality error; selecting, for a particular expression of the one or more expressions of the database query, based on the default cardinality error for the particular expression exceeding a first threshold, a recommended CE model; and assigning the recommended CE model as the assigned CE model for the particular expression based on an improvement in one or more respective recommended cardinality errors for the particular expression relative one or more respective default cardinality errors for the particular expression exceeding a second threshold, wherein the one or more respective recommended cardinality errors for the particular expression are based on one or more recommended estimated cardinalities calculated using the recommended CE model.

Methods, computer systems, and computer storage media are provided for facilitating implementation of efficient management of monitor configuration data in a remote desktop environment. In embodiments, a dynamic virtual channel established between a remote desktop client device and a remote desktop server is used to provide a global set of monitor configuration data for a remote desktop session. Thereafter, at the remote desktop client device, an updated set of monitor configuration data is identified during the remote desktop session. The updated set of monitor configuration data for the remote desktop session is provided to the remote desktop server via the dynamic virtual channel.

Techniques are described herein that are capable of causing an AI system to convert a legacy application into a converted application using a schema. An AI system is caused to generate a schema that defines functional blocks of a legacy application and logical relationships therebetween based on documentation describing the functional blocks and the logical relationships. The AI system is caused to perform a conversion of the legacy application into a converted application based on the schema and the legacy application. Performing the conversion includes converting the functional blocks, which are configured to have respective functionalities and are written in a first programming language, into code blocks, which are configured to have the respective functionalities and are written in a second programming language. Performing the conversion further includes configuring the code blocks to have the logical relationships. The converted application is defined by the code blocks and the logical relationships.

Components in a system-on-chip (SOC) may communicate through a mesh interconnect. Such components include processing circuits that may initiate memory transactions and memory circuits that may be access but memory transactions. The SOC also includes access circuits to control memory transactions directed to memory circuits through their component interfaces. The access circuits may receive memory transactions and generate indications of whether a processing circuit that initiated the memory transaction has authority to access a region of memory in the memory circuit according to the memory transaction. In some examples, execution of memory transactions may proceed according to the generated indications. In some examples, a desired access (e.g., reading, writing, executing) to a targeted memory address may be indicated by an instruction in the memory transaction.

This document relates to utilizing spare cores to mitigate hardware failures on a computing device. For instance, in some cases, tenant workloads can have sensitive data that executes on a given core of a device. In some cases, a hardware fault in the system may occur that affects the core running the tenant workload, and there may be an action that can be taken in mitigation software or firmware to fix that hardware fault. However, because of the sensitivity of the data on the core experiencing the fault, it is not always possible to run the mitigation algorithms on the core that is affected by the fault. The disclosed implementations can utilize a spare core to execute a hardware mitigation algorithm on another core that can clear the fault, without accessing any sensitive data on the core that is affected by the fault.

An adaptive tactile feedback touchpad with customizable texture simulation adapts feedback to provide realistic, nuanced sensations associated with different textures by sensing touch input attributes, such as input location and force, and determining additional touch attributes, such as direction and velocity, from a time-series set of touch inputs. Touchpad haptic actuators implemented in one or more axes of a touchpad can be controlled with varying amplitudes (e.g., weights) to provide consistent tactile sensations regardless of the location and direction that a user touches and moves a finger on the touchpad. A haptic waveform can be selected, for example, based on the simulated texture and input velocity while a waveform amplitude can be determined based on input force, direction, and velocity. The haptic actuator(s) can be controlled by the selected waveform and determined amplitude to provide realistic tactile sensations regardless where the user interacts with the touchpad.

A system implements techniques for executing a collaboration session between at least one human participant, at least one robotic device participant, and at least one artificial intelligence agent participant. The collaboration session can be executed in relation to a mission to be completed within a geographical environment. The system described herein generates a simulation environment in the context of the collaboration session. The simulation environment enables the simulated execution of a simulated version of an actual robotic device for validation purposes. For instance, a dangerous task to be executed by the actual robotic device may be simulated before actual execution to ensure the safety of the task is validated. Or, a complex task to be executed by the actual robotic device may be simulated before actual execution to ensure the effectiveness and/or efficiency of the task is validated.