Abstract: Recombinant proteins comprising a non-canonical amino acid with high yield and high fidelity are made by expressing the protein in an engineered Vibrio natriegens strain containing an orthogonal translation system comprising an orthogonal aminoacyl tRNA synthetase that charges the non-canonical amino acid onto the orthogonal cognate tRNA.

Abstract: The present invention refers to a liposome comprising: a) a phospholipid; b) cholesterol (chol); c) a conjugate comprising a cholesterol moiety, a polyethylene glycol (PEG) moiety and a peptide moiety comprising a RGD sequence, wherein the PEG moiety is covalently attached to the cholesterol moiety by one end via a bond of the type alkyl ether and is covalently attached to the peptide moiety comprising the RGD sequence by the other end: d) a non-lipid cationic surfactant present in a percentage of less than 30% mol in respect to the total mol of the components of the liposome a), b), c) and d); and e) alpha-galactosidase (GLA) enzyme present in a ratio of micrograms of GLA in respect to the total milligrams of the components of the liposome a), b), c) and d) of between and including 2 to 35. It also refers to a pharmaceutical composition that comprises it and to the liposome or the pharmaceutical composition for use as a medicament, in particular for use in the treatment of Fabry disease.

Abstract: A genetic loss function optimization (hereafter “GLO”) process uses a genetic algorithm to construct candidate loss functions as trees. The process takes the best candidate loss functions from this set and optimizes the coefficients thereof using covariance-matrix adaptation evolutionary strategy (hereafter “CMA-ES”), resulting in new loss functions showing substantial improvements in accuracy, convergence speed, and data requirements.

Abstract: A process for discovering optimal Generative Adversarial Networks (GAN) includes jointly optimizing the three functions of a GANs process including (i) a real component of a discriminator network's loss that is a function of D(x), wherein D(x) is the discriminator network's output for a real sample from an input dataset; (ii) a synthetic component of the discriminator network's loss that is a function of D(G(z)), wherein D(G(z)) is the discriminator network's output for a generator network's synthetic samples z from a latent distribution; and (iii) a generator network's loss which is a function of D(G(z)), with the discriminator network's total loss being the sum of components (i) and (ii).

Abstract: The present invention relates to metalearning of deep neural network (DNN) architectures and hyperparameters. Precisely, the present system and method utilizes Evolutionary Population-Based Based Training (EPBT) that interleaves the training of a DNN's weights with the metalearning of loss functions. They are parameterized using multivariate Taylor expansions that EPBT can directly optimize. Further, EPBT based system and method uses a quality-diversity heuristic called Novelty Pulsation as well as knowledge distillation to prevent overfitting during training. The discovered hyperparameters adapt to the training process and serve to regularize the learning task by discouraging overfitting to the labels. EPBT thus demonstrates a practical instantiation of regularization metalearning based on simultaneous training.

Abstract: This application relates to a system for the automatic generation of software developer documentation. The system utilizes various machine learning algorithms and processes to facilitate at least a portion of the documentation process. Included are steps for extracting metadata from an undocumented symbol's declaration, processing a corpus of previously documented symbols, and generating output for the undocumented symbol. Consequently, a writer is provided with a document that is at least partially completed when the writer begins the process of documenting an undocumented symbol.

Abstract: A process for optimizing loss functions includes progressively building better sets of parameters for loss functions represented as multivariate Taylor expansions in accordance with an iterative process. The optimization process is built upon CMA-ES. At each generation (i.e., each CMA-ES iteration), a new set of candidate parameter vectors is sampled. These candidate parameter vectors are sampled from a multivariate Gaussian distribution representation that is modeled by the CMA-ES covariance matrix and the current mean vector. The candidates are then each evaluated by training a model (neural network) using the candidates and determining a fitness value for each candidate against a validation data set.

Abstract: This application relates to a system for the automatic generation of software developer documentation. The system utilizes various machine learning algorithms and processes to facilitate at least a portion of the documentation process. Included are steps for extracting metadata from an undocumented symbol's declaration, processing a corpus of previously documented symbols, and generating output for the undocumented symbol. Consequently, a writer is provided with a document that is at least partially completed when the writer begins the process of documenting an undocumented symbol.

Abstract: A circuit includes a reconfigurable rectifier, a voltage balancer, and a pair of converters. The reconfigurable rectifier includes an ac input port and three output ports. In a first configuration, the reconfigurable rectifier can deliver power at a first output port and, in a second configuration, to at least a second output port. The voltage balancer includes first and second ports coupled to second and third output ports of the reconfigurable rectifier and is configured to balance received voltage at the first and second ports. The first converter has an input coupled to the first port of the voltage balancer and an output at which a first converted voltage signal is provided. The second converter has an input coupled to the second port of the voltage balancer and an output at which a second converted voltage signal is provided.

Abstract: The invention relates to a method based on mixing honey as a raw material and maltodextrin, in proportions of approximately 80% honey and approximately 20% maltodextrin. The mixture is stored in an inert atmosphere and is subjected to a vacuum drying process in order to obtain a pasty mass which is ground so as to obtain a grain-type product, corresponding to the desired final product. The natural sweetener obtained in used as a product to sweeten all types of drinks and food.

Abstract: A circuit includes a reconfigurable rectifier, a voltage balancer, and a pair of converters. The reconfigurable rectifier includes an ac input port and three output ports. In a first configuration, the reconfigurable rectifier can deliver power at a first output port and, in a second configuration, to at least a second output port. The voltage balancer includes first and second ports coupled to second and third output ports of the reconfigurable rectifier and is configured to balance received voltage at the first and second ports. The first converter has an input coupled to the first port of the voltage balancer and an output at which a first converted voltage signal is provided. The second converter has an input coupled to the second port of the voltage balancer and an output at which a second converted voltage signal is provided.

Abstract: A router for a network is arranged for guiding data traffic from one of a first plurality Ni of inputs (I) to one or more of a second plurality No of outputs (O). The inputs each have a third plurality m of input queues for buffering data. The third plurality m is greater than 1, but less than the second plurality No. The router includes a first selection facility for writing data received at an input to a selected input queue of the input, and a second selection facility for providing data from an input queue to a selected output. Pairs of packets having different destinations Oj and Ok are arranged in the same queue for a total number of Nj,k inputs, characterized in that Nj,k<N for each j,k.

Abstract: A router for a network is arranged for guiding data traffic from one of a first plurality Ni of inputs (I) to one or more of a second plurality No of outputs (O). The inputs each have a third plurality m of input queues for buffering data. The third plurality m is greater than 1, but less than the second plurality No. The router comprises a first selection facility for writing data received at an input to a selected input queue of said input, and a second selection facility for providing data from an input queue to a selected output. Pairs of packets having mutually different destinations Oj and Ok are arranged in the same queue for a total number of Nj,k inputs characterized in that Nj,k<N for each j,k.

Abstract: Galvanized steel having a brushed gloss finish is formed by a brushed galvanic coating, being generally uniform and having not-remarked Zinc Micro crystals and at least one clear organic coating over the galvanic coating. The galvanized steel with brushed gloss finish is obtained by the process of developing a layer of Zinc Micro crystals over the galvanic coating applied on steel; hardening with gloss finish such galvanic coating; brushing the coating; avoiding remarking edges of the Zinc Micro crystal applied on the galvanic coating; and applying at least one clear and/or pigmented clear organic coating.