E. Blum & Co. AG

A device for the contactless and non-destructive testing of a surface by measuring infrared radiation thereof in response to thermal excitation comprises one or more electromagnetic radiation sources (220), each adapted to emit excitation radiation directed onto the surface (17) to be tested. One or more detectors (120) with pixel arrays (121) are directed towards the surface (17) and record the response to the excitation radiation as a function of time. A control unit (60) receives the values from the pixels and determines the times at which the values were measured, taking into account the non-gated measurement at the pixel arrays (121). Control unit (60) also controls the pulsing of the one or more radiation sources (220).

The invention is notably directed to a computer-implemented method of determining one or more physical properties of a physical system (10i, 10f, 10) represented by a graph neural network (GNN). The physical system is a multi-body dynamical system of components interacting through pairwise interactions, such as a 3D granular system. The GNN includes nodes and bidirectional edges that are mapped onto the components and the pairwise interactions, respectively. The method comprises: (i) accessing an initial state obtained (S121) in accordance with initial dynamics of the physical system; (ii) iteratively executing (S125) the GNN based on the initial state accessed to iteratively update (S1256) a virtual state of the physical system as represented by the GNN, whereby multiple iterations are performed, which respectively correspond to multiple time steps; and (iii) determining (S126) one or more physical properties of the physical system at one or more of the multiple time steps based on one or more virtual states of the physical system as updated (S1256) at one or more of the corresponding iterations, respectively. At each iteration, the virtual state is updated (S1256) through message passing steps, which iteratively update (S1252, S1256) representations of the nodes and the bidirectional edges, so as to enforce (S1255), for each bidirectional edge of the bidirectional edges, a conservation of both a linear momentum and an angular momentum of the pairwise interaction corresponding to said each bidirectional edge. The angular momentum is measured about a point of action of internal force of the corresponding pairwise interaction. The invention is further directed to characterization systems and computer program products.

An aspect of the invention relates to a computer-implemented method for managing the ownership of an asset. The method comprises providing a smart registry contract (10) on a distributed ledger (110, 210, 310) and minting, by the smart registry contract (10), a non-fungible token (11) as ownership token for the asset and an associated token-bound account (12) on the distributed ledger (110, 210, 310). The method further comprises providing a permissioned storage system (20) and an application layer (30). Further steps include receiving, by the application layer, the metadata of the asset including a document (21) associated to the asset, storing the document (21) in the permissioned storage system (20) and recording a link (22) to the document (21) in the associated token-bound account (12).Further aspects relate to a digital asset management system and a corresponding computer program product.

The invention is notably directed to a computer-implemented method of optimising quantisation in a neural network (40) having an attention mechanism. The dataflow architecture of the neural network includes quantisation stages (41_Q - 47_Q) downstream of respective transformation stages, which involve transformations that can be represented through transformation matrices and include offline transformations. The method first comprises optimising a stage (41, 42₃) of the transformation stages for subsequent quantisation by a respective one of the quantisation stages (41_Q, 42_Q), by optimising an offline transformation involved in said stage in an unsupervised manner, the offline transformation representable through a dot product of an offline input tensor and an offline transformation matrix, using an objective function designed to reduce a degree of tailedness of a distribution of tensor components of a tensor resulting from said dot product. Next, said stage is precomputed at least partly by performing the optimised offline transformation as an affine transformation based on said dot product, and stored to ready the neural network for inferences. The invention is further directed to related methods and computer programs.

There is provided a mobile device for accessing a service hosted by an application server, comprising: at least one processor of a mobile device executing a code for: operating primary circuitry installed in the mobile device connected to a first cellular service provider and providing cellular data services to the mobile device, receiving a request for authentication of the mobile device from an application server, accessing a unique digital identifier stored in a secondary circuitry of the mobile device having connectivity provided by a second cellular service provider, and providing the unique digital identifier to the application server for authenticating the mobile device for accessing the service.

The invention is notably directed to a computer-implemented method of optimizing an optical sensor (1) comprising a single-walled carbon nanotube (2), or SWCNT for short, which is wrapped in single-stranded sequence (3) of nucleotides (ssSN). The method revolves around two or more optimization cycles. Each optimization cycle includes clustering ssSNs of an input set of ssSNs to obtain clusters and selecting representative ssSNs of the clusters obtained. Next, one accesses measurements of optical responses of optical sensors to a target molecule, where the optical sensors include SWCNTs wrapped in actual ssSNs, which are synthetized in accordance with the representative ssSNs selected. After that, a top ssSN is identified among the representative ssSNs. The top ssSN is one that led to the highest optical response. Importantly, the top ssSN identified at each optimization cycle (but the last cycle) is mutated to obtain mutants and form a superset of sequences including the top ssSN and its mutants, prior to performing the next optimization cycle, using this superset as a new input set of ssSNs. This way, a local optimum is identified in the initial input space of the ssSNs. Additional optimization can be achieved through supervised learning and pattern recognition. The invention is further directed to related engineering methods (to synthetize ssSNs and wrap SWCNTs) and computer programs (to perform the optimizations).

An electro-mechanical power door operating system (100) includes a strut (102) having an inner tube (104) and an outer tube (106); and an electrical actuator (108). The inner tube (104) and the outer tube (106) are in axial alignment and slidable relative to one another in a telescoping manner in response to operation of the electrical actuator (108).

Die Erfindung betrifft ein thermisch gedämmtes Leitungsrohr (1), umfassend mindestens ein Mediumrohr (4), mindestens eine um das Mediumrohr herum angeordnete Wärmedämmung (3) und mindestens einen um die Wärmedämmung herum angeordneten Aussenmantel (2), wobei der Aussenmantel (2) gegebenenfalls eine Barriere (9) aus Kunststoff umfasst und aus einem Ppolymeremn Werkstoff besteht, und wobei die Wärmedämmung (3) einen Schaumstoff umfasst, dessen Zellgas mindestens 50 vol% HFOs enthält. Ein solches Leitungsrohr zeigt ein gutes Dämmverhalten, eine gute Umweltbilanz und ist einfach herstellbar.

Die Erfindung betrifft ein Kochfeld mit einer Dunstabzugsvorrichtung (4) und einer Kochfeldoberfläche (1) zum Aufstellen von Kochgeschirr, insbesondere Töpfen und Pfannen. Die Dunstabzugsvorrichtung (4) umfasst, eine Lufteinlassöffnung (5), welche in einer Aussparung der Kochfeldoberfläche (1) angeordnet ist, einen Lüfter (10) zum Ansaugen von Luft durch die Lufteinlassöffnung (5), einen von der Lufteinlassöffnung (5) zum Lüfter (10) führenden Luftkanal (7) und einen Fettfilter (8). Die Dunstabzugsvorrichtung (4) weist eine Waage mit einer Messzelle auf, um das Gewicht von über der Lufteinlassöffnung (5) positionierten Gegenständen zu messen.

The invention is notably directed to a computer-implemented method of controlling an autonomous material handling machine (1). The machine includes a lower structure (12), an upper structure (11), an arm (10) with arm joints actuated by arm joint actuators (461, 462), and an end effector (110) suspended from the arm so that it can swing as a damped pendulum. The arm (10) is pivotably connected to the upper structure, which can rotate relative to the lower structure through a slew joint (14), around a rotation axis of the slew joint, thanks to a slew motor (464). The method comprises repeatedly performing (S30) algorithmic cycles. Each algorithmic cycle comprises: updating (S31) state data (204), which comprise states of the arm joints and a moment of inertia of the material handling machine (1) with respect to the rotation axis, based on signals received (S20) from sensors of the material handling machine (1); generating (S35), by a control policy (2065) trained with reinforcement learning, control commands (203) for the slew motor (464) and the arm joint actuators (461, 462), based on the updated state data (204), and possibly a history (204h) thereof, a history (203h) of control commands previously generated by the control policy, and a target position constraint for the end effector (110); and updating (S36) the history of control commands according to the control commands (203) generated last and instructing (S37) to form control signals based on the generated control commands to control (S40) the slew motor (464) and the arm joint actuators (461, 462). The invention is further directed to related systems and computer program products.