Intel Corporation

Balachandar Santhanam

Subramanian C

Sean J Lawrence

Raghavendra Ramesh Rao

Alvin Abraham

Muvazima Mansoor

Mashrin Srivastava

Rajeev Rajasekharan

Techniques are disclosed to determine driver scoring that consider road quality and/or conditions in driver score computations. In contrast to the conventional approaches, the use of road conditions and/or road quality in the computation of driver scores allows for the consideration of road conditions and/or quality to improve upon conventional scoring techniques.

Driver scoring system and method with driving event context normalization using road quality information

Techniques are disclosed to determine driver scoring that consider road accident proneness scores in driver score computations. The road accident proneness scores may be based on one or more alerts. Further, road types of roads may be determined based on alerts. The determination of the road type may use a machine learning model. In contrast to the conventional approaches, the use of road accident proneness scores in the computation of driver scores allows for the consideration of accident proneness of the road to improve upon conventional scoring techniques. Further, map data and generated maps may be improved based on determined road types.

Driver scoring system and method with accident proneness filtering using alert clustering and safety-warning based road classification

Methods, systems, and storage media for dynamic allocation of communication channels among multiple wireless networks are disclosed. The example embodiments may provide interference mitigation and control among a plurality of wireless protocols operating in an environment. Other embodiments may be disclosed and/or claimed.

Channel allocation among multiple radio frequency networks

In an example, there is disclosed an apparatus, including: a network interface to communicatively couple to an internet of thing (IoT) having at least one edge device; a gateway engine to provide gateway services to one or more edge devices via the network interface; and one or more logic devices, including at least one hardware logic device, providing an adaptive security engine to: compile a periodic device interaction summary (DIS) for the edge device; send the DIS to a cloud service; receive from the cloud service a DIS signature for the edge device; determine that one or more interactions from the edge device are suspicious; and act on the determining.

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Bengaluru, India

Balachandar Santhanam