Formiche.net 14 dicembre 2015 - Fogliani: usare il bancomat è saggioGregorio Fogliani
Gregorio Fogliani a Formiche.net "Il Pos non deve essere visto come un costo, ma come un mezzo per ottenere più ricavi. Un vero e proprio strumento di marketing per accrescere e fidelizzare i clienti"
Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally.
Social Robotics normally assumes visual feedback between robotic trainees and human trainers. Given that robots rarely have adequate visual perception/recognition, such systems are noisy and prone to judgment errors. One way to resolve this problem is to simplify the communication channel between humans and robots. This paper uses simple gravity+motion XYZV sensors ubiquitous in modern personal devices -- smartphones in particular -- to power gait-based exo-systems (power leg assist, etc). This paper discusses current work in progress on this topic, specifically (1) gait modeling and recognition of kick-in moments for hardware, (2) use of the XYZV channel in both directions, allowing humans to send feedback in realtime, (3) social robotics constructs and methods that support maximum flexibility in applications of the otherwise traditionally narrow-purpose hardware systems.
Formiche.net 14 dicembre 2015 - Fogliani: usare il bancomat è saggioGregorio Fogliani
Gregorio Fogliani a Formiche.net "Il Pos non deve essere visto come un costo, ma come un mezzo per ottenere più ricavi. Un vero e proprio strumento di marketing per accrescere e fidelizzare i clienti"
Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally.
Social Robotics normally assumes visual feedback between robotic trainees and human trainers. Given that robots rarely have adequate visual perception/recognition, such systems are noisy and prone to judgment errors. One way to resolve this problem is to simplify the communication channel between humans and robots. This paper uses simple gravity+motion XYZV sensors ubiquitous in modern personal devices -- smartphones in particular -- to power gait-based exo-systems (power leg assist, etc). This paper discusses current work in progress on this topic, specifically (1) gait modeling and recognition of kick-in moments for hardware, (2) use of the XYZV channel in both directions, allowing humans to send feedback in realtime, (3) social robotics constructs and methods that support maximum flexibility in applications of the otherwise traditionally narrow-purpose hardware systems.
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