Google has agreed to pay $68m (£51m) to settle a lawsuit claiming it secretly listened to people's private conversations through their phones. Users accused Google Assistant - a virtual assistant present on many Android devices - of recording private conversations after it was inadvertently triggered on their devices. They claimed the recordings were then shared with advertisers in order to send them targeted advertising. The BBC has contacted Google for comment. But in a filing seeking to settle the case, it denied wrongdoing and said it was seeking to avoid litigation.

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The artificial intelligence of things (AIoT) will consist of automotive electronics, industrial 4.0, and smart home applications, new IoT edge devices and human-machine interface devices, all of which will require new functionality in terms of size, power consumption, and performance. New microcontrollers are being developed to meet these demands with higher performance and lower power consumption and with new RAM options to improve that of the existing SDRAM and pSRAM available. HyperRAM supports the HyperBus interface and Winbond Electronics offers 32, 64 and 128Mbit devices. Hans Liao, technology manager of DRAMs at Winbond, explained that the computing power, data processing and image display functions of traditional MCUs are limited and that the new IoT devices often have touch panel as image control interface, or require stronger edge computing functions for image processing and speech recognition, requiring higher performance, lower power microcontrollers. Winbond's 64Mbit HyperRAM consumes 90 microW at 1.8V, which is about half of a DRAM of the same capacity, claims the company.

Lenovo has announced a range of new smart devices at the IFA conference in Berlin today. The new devices include a mixed reality headset, as well as a Home Assistant pack which transforms your tablet into a smart assistant. As well as the new smart devices, Lenovo also announced the launch of the moto x4 – a smartphone integrated with Amazon Alexa. Lenovo has announced a range of new smart devices at the IFA conference in Berlin today. One of Lenovo's new products is the Yoga 920 laptop, which comes with Pen, Voice and Biometrics.

Energy consumption in commercial and educational buildings is impacted by group activities such as meetings, workshops, classes and exams, and can be reduced by scheduling these activities to take place at times and locations that are favorable from an energy standpoint. This paper improves on the effectiveness of energy-aware room-booking and occupancy scheduling approaches, by allowing the scheduling decisions to rely on an explicit model of the building's occupancy-based HVAC control. The core component of our approach is a mixed-integer linear programming (MILP) model which optimally solves the joint occupancy scheduling and occupancy-based HVAC control problem. To scale up to realistic problem sizes, we embed this MILP model into a large neighbourhood search (LNS). We obtain substantial energy reduction in comparison with occupancy-based HVAC control using arbitrary schedules or using schedules obtained by existing heuristic energy-aware scheduling approaches.

Energy consumption in commercial and educational buildings is impacted by group activities such as meetings, workshops, classes and exams, and can be reduced by scheduling these activities to take place at times and locations that are favorable from an energy standpoint. This paper improves on the effectiveness of energy-aware room-booking and occupancy scheduling approaches, by allowing the scheduling decisions to rely on an explicit model of the building's occupancy-based HVAC control. The core component of our approach is a mixed-integer linear programming (MILP) model which optimally solves the joint occupancy scheduling and occupancy-based HVAC control problem. To scale up to realistic problem sizes, we embed this MILP model into a large neighbourhood search (LNS). We obtain substantial energy reduction in comparison with occupancy-based HVAC control using arbitrary schedules or using schedules obtained by existing heuristic energy-aware scheduling approaches.