Abstract: The MetaSafe platform disclosed in this application is a decentralized storage and peer-to-peer network that utilizes Internet Gateway's (Routers) resources such as processor, storage, and network bandwidth to run a Blockchain network and provides services such as decentralized secured storage and peer-to-peer internet traffic routine for privacy that enables anyone with an Internet connection to store their information securely from any computing device and retrieve it on demand or share it at will. Due to its decentralized nature, and no single authority controlling or running the network, data is almost hackproof and not subject to any commercial exploitation. The enhancements comprise Proof of Stake consensus protocol vs. Proof of work to make it low-cost participation, utility token to incentivize the developers and network validators, and finally the ability to run the network validation on thousands of routers, the most under-utilized but the most important piece of hardware that's always online.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: A method for automatically configuring a portable device comprises determining a position of the portable device and automatically configuring the portable device based on the determined position.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: The present invention relates to fusion polypeptide compositions comprising immunoglobulin-type-2 binding domains of Vascular Endothelial Growth Factor Receptor, isolated nucleic acids encoding the compositions and vectors and host cells containing the same, and methods of using such compositions in treatment of diseases, disorders, and conditions.

Abstract: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.