From smart cities to healthcare, here's a snapshot of major changes ahead Big data, the Internet of Things, and artificial intelligence have quickly become the cornerstones that define and uphold our interconnected, internet-driven reality. According to The Next Web, smart contracts represent the future of big data. At the end of 2016, Innovation Enterprise predicted that big data regulation would be prevalent in 2016 -- in light of recent hacks, we shouldn't be surprised to see more regulation going forward, though our browsing data became less protected under a new presidential administration. It's already May, and there isn't much in the way of either standardization or increased security, though the increasing frequency of hacks should have experts working hard.
WeMo, Belkin's line of smart light switches and plugs, will soon be compatible with Apple's HomeKit. "WeMo is offering this bridge to address the overwhelming request from customers to make currently installed Wemo products work with HomeKit and other HomeKit compatible products. The WeMo Bridge will allow current and future WeMo users to experience the benefits of HomeKit, including Siri integration and interoperability with other HomeKit devices while also leveraging all the WeMo features customers enjoy." The Bridge (pictured above) adds HomeKit integration into WeMo's smart plugs and light switches by using your WiFi connection.
The phenomenal rise of Amazon's Alexa, and its run against Google Home and Siri, has us aquiver again with talk of the war for voice, and who will win it. Apple and Google went for the car computer option first. Lack of integration is also a reason that some early attempts in smart home technology haven't really brought much, except remote control heartache. My instinct is that an open-standards play will win the day here, that plugging a device into your personal AI ought to have the same conformity you expect from plugging it into a power socket.
Add one more perk to Ikea's elegant, affordable selection of smart lighting products: you can soon control them with your voice. According to Ikea's website, a gateway kit featuring two bulbs, remote control, and a gateway to access broadband Internet costs $79.99, while dimming kits go for roughly $27. Users can download a free app to control all Ikea lighting. "We think that smart home technology should be accessible for everybody," said Jeanette Skjelmose, business area manager for Ikea's lighting and smart home division, in a statement.
Today, the Swedish retailer announced that their IKEA Home Smart products will respond to voice commands from Alexa, Siri, and Google Assistant starting this summer. Making our products work with others on the market takes us one step closer to meet people's needs, making it easier to interact with your smart home products," said IKEA Home Smart's business leader Björn Block. In comparison, IKEA's Smart Lighting System's TRÅDFRI Gateway is half that price -- just $30, though the number of lights it supports is unclear. IKEA's aggressive pricing makes smart, voice-controlled lighting more accessible to a wider range of potential buyers.
We've been hearing a lot about how Google Home and Amazon Echo can control our smart appliances and devices, but for many of us, they're still out of reach. Thanks to IKEA, just about anyone can install smart lighting in their homes and manage them with Google Assistant, Amazon Alexa, and Siri. The Swedish furniture company announced in a press release that you will soon be able to control its affordable line of smart lights with the smart speakers and assistants you already have. This story, "You'll soon be able to control IKEA's affordable smart lights with Assistant, Alexa, and Siri" was originally published by TechHive.
Researchers at Carnegie Mellon University (CMU) last week unveiled their "super sensor" technology, which they also call a "synthetic sensor." As events occur near the sensor board, data is generated in specific, uniquely identifying patterns, which are processed by machine learning algorithms to enable the creation of a "synthetic sensor" in software. The resulting vibration, sound, heat and movement detected by the super sensor generate patterns of data that are fed into the system. The revolution is to install a super sensor once, then all future sensing (and the actions based on that sensing) is a software solution that does not involve new devices, changing batteries or any of the other inflexible solutions imagined with the "trillion sensor world."
By the year 2021, there will be more AI-powered digital assistants installed on devices than there are people in the world, according to new research from Ovum. Partnerships between tech giants and local service providers will therefore be key differentiators," said Ronan de Renesse, practice leader for Ovum's Consumer Technology team and author of the report, in the release. Expanding globally will also be a key challenge for AI digital assistant vendors, the report found. "Whoever can bring personal consumer data in a secure, non-creepy way to digital assistance will be able to bridge that gap and capture most of the opportunity."
In November of 2016, Louis Columbus from Forbes wrote, "This years' series of Internet of things and the industrial Internet of things (IIoT) forecasts reflect a growing focus on driving results using sensor-based data and creating analytically-rich data sets. This type of leap forward in computing could allow for not only faster analysis and computation across significantly larger data sets, it would also reduce the time to discovery for many business, intelligence and scientific challenges which include improving energy grids, protecting and encrypting data, simulations of molecules, research into new materials, development of new drugs, or understanding economic catalysts. Quantum computing can reduce time spent on physical experiments and scientific dead ends, resulting lower costs and faster solutions that can provide economic and societal benefit. While there is a wide variety of definitions of AI, artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g.