Two unique proposals to let devices dictate energy use in their mobile software could improve the energy efficiency of mobile devices and drones.
Through a unique feature descriptor, a group of researchers have created a facial expression recognition system suitable for smartphones.
A new system could better protect self-driving vehicles from hackers and false directions by using artificial intelligence to secure their wireless communication.
The security and safety of connected vehicles is far from guaranteed. This cybersecurity overview discusses the threats posed by increased connectivity, and the work still needed to ensure driver safety.
Through machine learning algorithms, social media access control no longer needs to be a burden of the user, as this system will automatically allow or deny followers access to social media content.
A traffic-aware patching scheme of intermediate nodes could greatly improve the cyber security of wireless networks connected to IoT devices.
When it comes to driver safety, smartphones do not have a good reputation. But new research suggests that, through machine learning, these devices can help identify abnormal driving behaviors to improve driver’s habits.
A team of researchers developed a Twitter authentication system that uses both sentimentality and user reputation to identify credibility.
A new wearable that uses bio-signal acquisition could improve health care by allowing doctors and nurses to do constant monitoring of patient vital signs.