Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: The present invention relates to novel compounds which are capable of inhibiting semicarbazide-sensitive amine oxidase (SSAO/VAP-1) and monoamine oxidase B (MAO-B). These compounds are useful for treatment of a variety of neuromuscular diseases, such as muscular dystrophies, and neuroinflammatory diseases, including both peripheral and central disorders in human subjects, as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: There is provided a computer implemented method for predicting garment or accessory attributes using deep learning techniques, comprising the steps of: (i) receiving and storing one or more digital image datasets including images of garments or accessories; (ii) training a deep model for garment or accessory attribute identification, using the stored one or more digital image datasets, by configuring a deep neural network model to predict (a) multiple-class discrete attributes; (b) binary discrete attributes, and (c) continuous attributes, (iii) receiving one or more digital images of a garment or an accessory, and (iv) extracting attributes of the garment or the accessory from the one or more received digital images using the trained deep model for garment or accessory attribute identification. A related system is also provided.

Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: A method of generating an image file of a high resolution 3D garment model on a 3D body model, comprising the steps of: (i) acquiring at least three 2D images of a garment on a mannequin, wherein the at least three 2D images capture a 360° azimuthal angle range of view of the garment, including a texture of the garment; (ii) creating a simplified 3D garment model using the 2D images of the garment; (iii) simulating the smooth and simplified 3D garment model on the 3D body model; (iv) deforming and rendering the high-resolution garment texture on the simulated smooth and simplified 3D garment model on the 3D body model, and (v) generating an image file of the 3D body model, the image file including the deformed and rendered high-resolution garment texture, on the simulated smooth and simplified 3D garment model, on the 3D body model.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: There is provided a computer implemented method for predicting garment or accessory attributes using deep learning techniques, comprising the steps of: (i) receiving and storing one or more digital image datasets including images of garments or accessories; (ii) training a deep model for garment or accessory attribute identification, using the stored one or more digital image datasets, by configuring a deep neural network model to predict (a) multiple-class discrete attributes; (b) binary discrete attributes, and (c) continuous attributes, (iii) receiving one or more digital images of a garment or an accessory, and (iv) extracting attributes of the garment or the accessory from the one or more received digital images using the trained deep model for garment or accessory attribute identification. A related system is also provided.

Abstract: There is provided a method of generating an image file of a personalized 3D head model of a user, the method comprising the steps of: (i) acquiring at least one 2D image of the user's face; (ii) performing automated face 2D landmark recognition based on the at least one 2D image of the user's face; (iii) providing a 3D face geometry reconstruction using a shape prior; (iv) providing texture map generation and interpolation with respect to the 3D face geometry reconstruction to generate a personalized 3D head model of the user, and (v) generating an image file of the personalized 3D head model of the user. A related system and computer program product are also provided.

Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: A method of generating an image file of a high resolution 3D garment model on a 3D body model, comprising the steps of: (i) acquiring at least three 2D images of a garment on a mannequin, wherein the at least three 2D images capture a 360° azimuthal angle range of view of the garment, including a texture of the garment; (ii) creating a simplified 3D garment model using the 2D images of the garment; (iii) simulating the smooth and simplified 3D garment model on the 3D body model; (iv) deforming and rendering the high-resolution garment texture on the simulated smooth and simplified 3D garment model on the 3D body model, and (v) generating an image file of the 3D body model, the image file including the deformed and rendered high-resolution garment texture, on the simulated smooth and simplified 3D garment model, on the 3D body model.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.

Abstract: A method for capturing images of a person for a security screening is provided. A spatial position of the person is detected using a support sensor. Information indicative of the detected spatial position of the person is then received and used to steer a field of view of at least a first set of imaging heads towards the detected spatial position of the person. The at least a first set of imaging heads includes at least one passive imaging head and at least one active imaging head, wherein the passive imaging head captures separate images corresponding to at least two frequency bands at a same time. Images of the person are then captured with the at least a first set of imaging heads.

Abstract: The invention relates to systems for structuring clinical trials protocols into machine interpretable form. A hybrid human and natural language processing system is used to generate a structured computer parseable representation of a clinical trial protocol and its eligibility criteria. Furthermore, a web-based search engine to allow patients to find relevant clinical trials is developed. It works by asking a series of questions, which are generated dynamically such that previous answers will decide which question is generated next. Using a probabilistic model of trial suitability, questions are prioritized so as to minimize the total question burden. Furthermore, data collected across multiple trials is used to optimize the model and to optimize the design of future clinical trials.

Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

Abstract: The present invention relates to novel compounds which are capable of inhibiting certain amine oxidase enzymes. These compounds are useful for treatment of a variety of indications, e.g., fibrosis, cancer and/or angiogenesis in human subjects as well as in pets and livestock. In addition, the present invention relates to pharmaceutical compositions containing these compounds, as well as various uses thereof.