Abstract: In various examples, sensor data representative of an image of a field of view of a vehicle sensor may be received and the sensor data may be applied to a machine learning model. The machine learning model may compute a segmentation mask representative of portions of the image corresponding to lane markings of the driving surface of the vehicle. Analysis of the segmentation mask may be performed to determine lane marking types, and lane boundaries may be generated by performing curve fitting on the lane markings corresponding to each of the lane marking types. The data representative of the lane boundaries may then be sent to a component of the vehicle for use in navigating the vehicle through the driving surface.

Abstract: In various examples, data mining using group classifiers for autonomous and semi-autonomous systems and applications is described. For instance, systems and methods may train and use a classifier that is configured to determine whether data samples (e.g., images) represent objects associated with a group in various training and/or mining iterations. For instance, after each iteration, the classifier may become more accurate such that the classifier is able to better identify first data samples that are associated with the group (e.g., positive images) and/or second data samples that are not associated with the group (e.g., negative images). Additionally, the systems and methods may use another classifier to determine classifications associated with objects represented by at least the first data samples that are associated with the group. The systems and method may then store these first data samples and the classifications in one or more databases.

Abstract: In various examples, machine learning data mining for autonomous or semi-autonomous systems and applications is described herein. Systems and methods are disclosed that use neural networks to perform one or more data mining processes. For instance, a first neural network(s) may process input data (e.g., image data) to remove data samples (e.g., images) that are associated with a first object classification(s) and/or a second neural network(s) may process the input data to retrieve data samples (e.g., images) that are associated with a second classification(s). Next, a third neural network(s) may process filtered input data (e.g., the input data not removed by the first neural network(s) and/or the input data retrieved by the second neural network(s)) to determine uncertainty classifications associated with the data samples and a fourth neural network(s) may process the filtered input data to determine final object classifications associated with the data samples.

Abstract: The present invention relates to the conjugation of a tubulysin analog compound to a cell-binding molecule with branched/side-chain linkers for having better delivery of the conjugate compound and targeted treatment of abnormal cells. It also relates to a branched-linkage method of conjugation of a tubulysin analog molecule to a cell-binding ligand, as well as methods of using the conjugate in targeted treatment of cancer, infection and autoimmune disease.

Abstract: In various examples, sensor data representative of an image of a field of view of a vehicle sensor may be received and the sensor data may be applied to a machine learning model. The machine learning model may compute a segmentation mask representative of portions of the image corresponding to lane markings of the driving surface of the vehicle. Analysis of the segmentation mask may be performed to determine lane marking types, and lane boundaries may be generated by performing curve fitting on the lane markings corresponding to each of the lane marking types. The data representative of the lane boundaries may then be sent to a component of the vehicle for use in navigating the vehicle through the driving surface.

Abstract: This invention relates to conjugates of camptothecin analogs with a cell-binding molecule of formula (I), wherein R1, R2, R3, R4, R5, X, L, n, m, T and ----- are defined herein. It also provides methods of making the conjugates of camptothecin analogs to a cell-binding agent, as well as methods of using the conjugates in targeted treatment of cancer, infection, and immunological disorders.

Abstract: In various examples, sensor data representative of an image of a field of view of a vehicle sensor may be received and the sensor data may be applied to a machine learning model. The machine learning model may compute a segmentation mask representative of portions of the image corresponding to lane markings of the driving surface of the vehicle. Analysis of the segmentation mask may be performed to determine lane marking types, and lane boundaries may be generated by performing curve fitting on the lane markings corresponding to each of the lane marking types. The data representative of the lane boundaries may then be sent to a component of the vehicle for use in navigating the vehicle through the driving surface.

Abstract: Described is a conjugation of a tubulysin analog compound to a cell-binding molecule with branched/side-chain linkers for having better delivery of the conjugate compound and targeted treatment of abnormal cells. Also described are a branched-linkage method of conjugation of a tubulysin analog molecule to a cell-binding ligand, as well as methods of using the conjugate in targeted treatment of cancer, infection and autoimmune disease.

Abstract: Described is a conjugation of a tubulysin analog compound to a cell-binding molecule with branched/side-chain linkers for having better delivery of the conjugate compound and targeted treatment of abnormal cells. Also described are a branched-linkage method of conjugation of a tubulysin analog molecule to a cell-binding ligand, as well as methods of using the conjugate in targeted treatment of cancer, infection and autoimmune disease.

Abstract: Described is a conjugation of a tubulysin analog compound to a cell-binding molecule with branched/side-chain linkers for having better delivery of the conjugate compound and targeted treatment of abnormal cells. Also described are a branched-linkage method of conjugation of a tubulysin analog molecule to a cell-binding ligand, as well as methods of using the conjugate in targeted treatment of cancer, infection and autoimmune disease.

Abstract: The present invention relates to the conjugation of cytotoxic drug to a cell-binding molecule with a side-chain linker. It provides side-chain linkage methods of making a conjugate of a cytotoxic molecule to a cell-binding ligand, as well as methods of using the conjugate in targeted treatment of cancer, infection and immunological disorders.

Abstract: The present invention relates to linkers having a group of propioloyl, substituted acryl (acryloyl), or disubstituted propanoyl, and using such linkers for the conjugation of compounds, in particular, cytotoxic agents to a cell-binding molecule.

Abstract: Provided herein is the conjugation of an amanita toxin compound to a cell-binding molecule with branched linkers for having better targeted treatment of abnormal cells. It also relates to a branched-linkage method of conjugation of an amanita molecule to a cell-binding ligand, as well as methods of using the conjugate in targets treatment of cancer, infection and autoimmune disease.

Abstract: The present invention relates to a conjugate of a cytotoxic drug/molecule to a cell-binding molecule with a bis-linker (a dual-linker) containing a 2,3-diaminosuccinyl group. It also relates to preparation of the conjugate of a cytotoxic drug/molecule to a cell-binding molecule with the bis-linker, particularly when the drug having functional groups of amino, hydroxyl, diamino, amino-hydroxyl, dihydroxyl, carboxyl, hydrazine, aldehyde and thiol for conjugation with the bis-linker in a specific manner, as well as the therapeutic use of the conjugates.

Abstract: A conjugation of a cytotoxic drug to a cell-binding molecule with a bis-linker (dual-linker) as shown in Formula (I). Bis-linkage methods of making a conjugate of a cytotoxic drug/molecule to a cell-binding agent in a specific manner are also described, as well as application of the conjugates for the treatment of a cancer, or an autoimmune disease, or an infectious disease. wherein “” is an optional bond; X, Y, Z1, and Z2 are a functional group; m1 and n are a integer; L1 and L2 are a linker.

Abstract: The present invention relates to linkers having a group of propiolyl, substituted acryl (acryloyl), or disubstituted propanoyl, and using such linkers for the conjugation of compounds, in particular, cytotoxic agents to a cell-binding molecule.

Abstract: The present invention relates to linkers having a group of propiolyl, substituted acryl (acryloyl), or disubstituted propanoyl, and using such linkers for the conjugation of compounds, in particular, cytotoxic agents to a cell-binding molecule.

Abstract: The present invention relates to linkers having a group of propiolyl, substituted acryl (acryloyl), or disubstituted propanoyl, and using such linkers for the conjugation of compounds, in particular, cytotoxic agents to a cell-binding molecule.

Abstract: The present invention relates to linkers having a group of propiolyl, substituted acryl (acryloyl), or disubstituted propanoyl, and using such linkers for the conjugation of compounds, in particular, cytotoxic agents to a cell-binding molecule.

Abstract: A formulation of conjugates of tubulysin analogs with a cell-binding molecule having a structure represented by Formula (I), wherein T, L, m, n, ----, R1, R2, R3, R4, R1, R6, R7, R1, R9, R10, R11, R12, and R13 are as defined herein, can be used for targeted treatment of cancer, autoimmune disease, and infectious disease.