Gone are the days when you get up and turn the dial or press some buttons on your thermostat to get the airflow going in your home. Thanks to popular voice assistants like Amazon's Alexa and Google Assistant--and the invention of smart thermostats--controlling your Sensi smart thermostat is easier than ever when you follow these simple steps. Skip further down the article to see instructions for setting up with Google Assistant. Alexa is the most popular smart assistant out there, and she can help you control your Sensi smart thermostat. Create a Sensi account using a valid email address and a strong password.
SIP Global Partners (SIP GP) invest $2.0 million as part of a $2.7M round to power Croquet's market penetration and customer growth Croquet Corporation announced the release of its transformational platform for the development of Live Collaboration apps and games. The company has raised a seed round investment of $2.7M, including $2.0 million from SIP Global Partners (SIP GP) to introduce the platform to developers in key market segments. "Croquet will unleash a wave of innovation that will define massive new markets as the 5G and augmented reality markets go mainstream around the world." Developers can sign up today for the Croquet Software Development Kit (SDK) at https://croquet.io. Croquet's revolutionary software is powered by a global edge reflector network, optimized for co-deployment with 5G modems that will foster a new generation of shared, interactive, and collaborative experiences.
TensorIoT, Inc. will be leading an event demonstrating the career opportunities of the Tech Industry to elementary aged Los Angeles students. TensorIoT will discuss the various career roles within the Tech Industry, what each role consists of and the excitement and creativity that comes along with it. TensorIoT believes it is vital to teach our youth of these career opportunities and encourage them to pursue this path in order to secure the future and have educated, passionate developers. TensorIoT will be bringing a handful of their amazing employees to speak to 3rd-5th graders about what brought them into the Tech Industry, why they love their jobs, and the fun things they get to do daily. Through demonstration the company aims to educate them on what Artificial Intelligence is, IoT, as well as Machine Learning.
When new industry buzzwords or phrases come up, the challenge for people like us who write about the topic is figuring out what exactly a company means, especially when it uses the phrase to fit its own marketing objective. The latest one is edge artificial intelligence or edge AI. Because of the proliferation of internet of things (IoT) and the ability to add a fair amount of compute power or processing to enable intelligence within those devices, the'edge' can be quite wide, and could mean anything from the'edge of a gateway' to an'endpoint'. So, we decided to find out if there was consensus in the industry on the definition of edge vs. endpoint, who would want to add edge AI, and how much'smartness' you could add to the edge. First of all, what is the difference between edge and endpoint? Well it depends on your viewpoint -- anything not in the cloud could be defined as edge. Probably the clearest definition was from Wolfgang Furtner, Infineon Technologies' senior principal for concept and system engineering.
The Internet of Things is gradually penetrating every aspect of our lives. With the growth in numbers of internet-connected sensors built into cars, planes, trains, and buildings, we can say it is everywhere. Be it smart thermostats or smart coffee makers, IoT devices are marching ahead into mainstream adoption. But, these devices are far from perfect. Currently, there is a lot of manual input required to achieve optimal functionality -- there is not a lot of intelligence built-in.
Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning. Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning to the heating control systems. Initial results, (which will be published along with other findings next month), are promising, with the AI control system providing greater comfort and lower energy costs. It uses data collected from the past year alongside current weather conditions, to provide similar pre-set specifications while using less energy. In tests, the control system used around 25 percent less energy than a standard thermostat.
As one of the world's leading artificial intelligence entrepreneurs, Dr Catriona Wallace is urging Sydney to adopt AI infrastructure and the Internet of Things to prepare the city for the future. Wallace, like all the visionaries profiled in this story, is Sydney-based, so she has a truly local perspective. She is part of a large cohort of entrepreneurs committed to making Sydney an innovative city. "That's the greatest opportunity the city has," the founder and executive director of the ASX-listed Flamingo AI says. "AI can improve liveability, work stability and sustainability through things like autonomous vehicles, a distributed energy grid, a smarter food system, next generation weather predictions, smart disaster response and connected homes. So there's lots of different opportunities to use technology to improve quality of life."
Technology and trends, go hand in hand these days. From automation to connectivity, artificial intelligence to virtual reality, the decade had it all. As we are about to step in the last year of the decade, we drift our focus from many to the one that is expected to disrupt the global business industry, IoT! Gartner report's that there would 4.8 billion devices installed in work infrastructure towards the end of 2019 and around more than 20 billion interconnected devices would ply across the globe. The gamut of IoT seems to be huge and it would not be wrong to state that IoT is the new norm penetrating deep in organizational infrastructure and across all business verticals. However, technology never remains the same or it never stagnates.
Even though the full optimization of AI and the IoT is relatively far away, the two technologies are now being combined across industries in scenarios where problem-solving and information can improve outcomes for all stakeholders. Last such great convergence occurred in the late 1990s as mobile phones and the internet collided to change the course of human history. The convergence of AI and the IoT will bring in a similar revolution on an even grander scale. The ability to capture data through IoT is a large scale evolution that has exploded on the scene over the past five years. These new advancements have been accompanied by new concerns and threats associated with privacy and security.
Take a moment to listen to the world around you. Maybe you are listening to a podcast or the sounds of office life filtered through noise-canceling headphones. Or perhaps you're on a train or lulled by the sound of a dishwasher. Our brains are constantly taking in the sounds around us and giving us useful information. In the coming few years, computers will begin to also process those noises to understand what's happening around them to modify the environment, improve hearing, and notify us if something is wrong.