Abstract: Methods and systems are presented for providing a framework for facilitating token sharing with contract issuers based on processing of smart contract transactions. The framework provides a mechanism for allowing one or more computer nodes within a blockchain network to opt-in to a token sharing agreement with a contract issuer and a mechanism for an opted-in computer node to share tokens with the contract issuer in a decentralized manner. When a computer node has opted-in to the token sharing agreement, the computer node, by executing a smart contract, performs a set of computer procedures that is non-productive to the processing of the smart contract transaction. The execution of the set of non-productive computer procedures provides an additional amount of processing fee based on the processing of the smart contract transaction. The computer node then transfers a portion of the additional amount of processing fee to an account of the contract issuer as part of the processing of the smart contract.

Abstract: A system and method in at least one embodiment provides the means for conditioning batteries for increased battery capacity, battery runtime, reduced battery temperature while charging, and/or reduced battery temperature while in use, using current generated from a generator.

Abstract: A semiconductor pressure sensor for measuring an external pressure exerted on the sensor, comprising a membrane as part of a semiconductor substrate for being deformed due to the external pressure, a first group of neighboring resistors comprising a sensing resistor pair and a compensating resistor pair and a second group of neighboring resistors comprising a sensing resistor pair and a compensating resistor pair, wherein the sensing resistor pairs are located on or adjacent to the membrane edge and wherein the compensating resistor pairs are located at least partially outside the membrane or on a zero stress zone of the membrane, and wherein the resistors of each resistor pair are orthogonal, and wherein the resistors are connected in a Wheatstone bridge configuration.

Abstract: Techniques for implementing a new transport layer for distributed and federated learning (and other use cases/applications) are provided. In one set of embodiments, the new transport layer provides partial, rather than complete, reliability in scenarios where some amount of data loss can be tolerated between senders and receivers. This allows the transport layer to implement features that significantly improve the speed and efficiency of network data transfers.

Abstract: A system, technique and material composition for use in correction of eye condition are disclosed. The system comprising a processing utility and an etching utility. The processing utility comprises: correction pattern module configured for providing a selected two-dimensional pattern in according with input data indicative of vision impermanent of a user, and for generating operational instructions for forming said selected two-dimensional pattern on the surface of the cornea by said etching utility. The etching utility is configured to etching the selected patter on surface of the cornea of a user. The material composition comprises aqueous solution comprising a plurality of nanoparticles, said nanoparticles comprising maghemite nanoparticles wrapped by biocompatible protein chains. The material composition may be used as eye drops thereby allowing the nanoparticles to occupy etched region on the cornea, thereby maintaining correction of eye condition.

Abstract: A de-epitoped low molecular weight glutenin subunits (LMW-GS) is provided. Methods of generating same and uses thereof are also provided. A de-epitoped LMW-GS may be beneficial for a subject suffering from gluten sensitivities, such as a celiac disease patient. A de-epitoped LMW-GS may be comprised in food or beverage products such as bread, cake, cookie, noodle, pasta, or pizza.

Abstract: A method of unlearning a training example from a neural network, comprising: during training of the neural network on a training dataset, recording a plurality of recordings in a recording dataset, wherein a recording includes weight values of the neural network at the time at which the recording is recorded, selecting an unlearning training example to unlearn from the neural network, computing a total-loss value of a change in a loss function for each of plurality of training examples induced by a change of weights of the neural network in response to the unlearning training example, determining a certain recording to use to remove the unlearning training example according to the total-loss values, and re-training the neural network from the determined certain recording using an adapted training dataset excluding the unlearning training example; and producing an unlearned neural network.

Abstract: A system and method in at least one embodiment provides magnetic levitation to a vehicle above and/or partially about a rail or track using a flux field generator having a plurality of members having mated waveform patterns. In a further embodiment, the magnetic levitation also uses a distribution system. In a further embodiment, the plurality of members forms a disk-pack turbine. In a further embodiment, the flux field generator is not vehicle based.

Abstract: A system and method for digitally signing data. A method includes generating, by a first device, at least one first secret share based on a secret key chosen by the first device, wherein the first device is offline with respect to a second device; partially signing data by the first device using the at least one secret share, wherein the data is received from the second device without establishing direct communications between the first device and the second device; and sending the partially signed data from the first device to the second device, wherein the second device generates signed data using the partially signed data, wherein the signed data corresponds to a public key generated based on the at least one first secret share and at least one second secret share generated by the second device.

Abstract: One embodiment provides a compressive hyperspectral imaging system. The compressive hyperspectral imaging system can include a coded aperture configured to spatially encode an optical signal associated with a scene, an integrated photonic device configured to disperse the spatially encoded optical signal, and an array of photo detectors configured to detect the dispersed and spatially encoded optical signal. The output of the array of photo detectors is used for reconstruction of a hyperspectral image corresponding to the scene.

Abstract: A 3D printed structure is provided. The structure includes a composition formed from a mixture including an earth component, e.g., naturally occurring soil, subsoil, topsoil, clay, a clay-rich soil, sand, silt, an engineered soil formed of sand and clay, etc.; at least one fiber component, e.g., a bast or leaf fiber, including straw, wheat straw, rice straw, rice husk, reed, hay, hemp, kenaf, banana, sisal, fique, flax, jute, etc.; fluid component, e.g., water, oil, acid, etc.; and at least one additive component, e.g., a bio-based additive such as cellulose, a polypeptide such as gelatin, a polysaccharide such as alginate, guar gum, locust bean gum, chitosan, and xanthan gum, and lime, etc. The mixture includes a weight ratio of about 2-50 parts earth; about 5-50 parts fiber; about 25-80 parts fluid; and about 0-10 parts additive. The mixture can be 3D printed into prefabricated building elements, e.g., block-like geometries, monolithic walls, panels, etc.

Abstract: In one embodiment, a processing device includes a memory to store a plurality of memory pages having corresponding physical memory addresses in the memory, store an active multilevel page table (MPT) mapping virtual to physical memory addresses for corresponding allocated memory pages stored in the memory, and store a floating MPT at least partially mapping virtual to physical memory addresses for corresponding spare memory pages stored in the memory, the floating and active MPT using a common mapping scheme, and a processor to receive a request to add a virtual to physical address mapping for more memory pages of the plurality of memory pages to the active MPT, and in response to receiving the request, adjoin at least part of the floating MPT to the active MPT so that the active MPT provides the virtual to physical address mapping for at least some memory pages of the spare memory pages.

Abstract: There is provided a robotic surgical instrument comprising an end effector, a shaft component, a supporting body, a pulley, and a protrusion. The supporting body is connected to a distal end of the shaft component at a first end and to the end effector at a second end. The supporting body comprises first and second flanges extending from the first end into the shaft component. The pulley faces an outer surface of the first flange. The protrusion is coupled to the distal end of the shaft component and extends towards the end effector. The protrusion is configured to interface with an interfacing surface of one of the first or second flanges when the supporting body is moved towards the pulley. The separation between the outer surface of the first flange and the pulley is greater than the separation between said interfacing surface of one of the first or second flanges and the protrusion.

Abstract: A system for performing robotic surgery at a surgical site on a patient includes a control tool configured for manipulation by an operator, one or more displays, and a processor configured to cause a robotic arm, which holds a surgical tool, to manipulate the surgical tool correspondingly to the manipulation of the control tool, such that the operator controls the surgical tool via the control tool, to cause the displays to display a real-time video of the surgical site, in which the surgical site is magnified, to the operator while the operator controls the surgical tool, and to cause the displays to display at least one three-dimensional (3D) image of the surgical site, in which the surgical site is shown with less magnification relative to the video. Other embodiments are also described.

Abstract: Cross-sectional scaling of electronically available occupational profile data to represent a workforce of individuals at one or more companies is described. Raw online occupational profile data does not accurately represent a company's workforce. Individuals in certain roles have a higher or lower likelihood of being represented electronically, and individuals in certain regions also have higher or lower likelihoods of being represented. Thus, simply aggregating available online data does not produce an accurate representation of a company's workforce. To overcome this and/or other problems, cross-sectional scaling techniques are used to output an accurate representation of the workforce at one or more companies (e.g., for one or more occupations at a given company) based on the likelihoods that individuals have electronically available occupational profile data (which are determined based on determined occupational groups and regions where the one or more companies operate).

Abstract: A system and method for detecting a permission escalation event in a computing environment is disclosed. The method includes: generating a cloned disk based on an original disk of a resource deployed in a computing environment; detecting an identifier of a first principal on the cloned disk; detecting a second principal in the computing environment, the first principal authorized to assume the first principal; storing a representation of the computing environment in a security database, including: a first principal node representing the first principal, and a second principal node representing the second principal, further associated with a permission; querying the representation to determine a permission of the first principal; determining that the second principal includes a permission which the first principal does not include based on a result of querying the representation; and generating a permission escalation event.

Abstract: Screening machine (10) for screening solid materials, comprising both a screening box (12) shaped so as to have a plurality of perimeter walls (16, 17, 19, 21) and an upper wall (15), and configured to make said solid materials to be screened flow inside it, and also a plurality of anti-propagation devices (27), at least a first of which is disposed on said upper wall (15).

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A system to detect an abnormally permissive role definition, which can include an abnormally permissive custom role definition, and take action is described. The system receives a role definition for a security principal over a scope of resources in which the role definition includes a built-in role and a custom role. Permissions of the role definition and a creation event of the role definition are analyzed. A security score based on the role definition and creation event for the scope of resources is determined. An action is taken based on the security score and the creation event analysis.