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If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Engineers from the University of New South Wales (UNSW) have claimed the invention of a soft wearable device they say simulates the sense of touch. Haptic technology mimics the experience of touch by stimulating localised areas of the skin in ways that are similar to what is felt in the real world through force, vibration, or motion. "When we do things with our hands, such as holding a mobile phone or typing on a keyboard, all of these actions are impossible without haptics," Scientia lecturer and director of the UNSW Medical Robotics Lab Dr Thanh Nho Do said. "The human hand has a high density of tactile receptors and is both an interesting and challenging area to encode information through haptic stimulation, because we use our hands to perceive most objects every day." He said there are many situations where the sense of touch would be useful, but is impossible.
This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more! We find ourselves in a pivotal era in technology, where the things we've been promised for years like augmented reality, advanced 3D printing, artificial intelligence, and autonomous vehicles are becoming a reality(albeit not necessarily in the forms we'd like them yet, or in all locations or price points). As technology evolves, technologists across disciplines and industries are sharing knowledge and research, leading to even more discoveries and cross-practice convergence. At the nexus of this evolution is the Internet of Things.
Neura, a personalization platform for app developers, today announced the launch of Moments, which aims to synthesize a smartphone user's situation within a specific context, place, and time. "It delivers personalization that is based on the real world," Neuro CEO Amit Hammer told VentureBeat in a phone interview. "It discovers the preferences and needs of people so it can serve them better." Here's how it works: Neura taps a well of data from devices like smartwatches, door locks, body weight scales, appliances, home security systems, and more, partnering with internet of things (IoT) manufacturers like Philips. Its "hybrid" AI engine ingests the data and learns users' sleep schedules and daily routines, which it uses to populate cloud-hosted profiles that Neura calls True Personas.
Sometimes it's easy to become a tad jaded about all things IoT, particularly in the consumer market due to the slew of single-purpose capabilities, copycat products, poor interconnectivity, and of course, the litany of security embarrassments. Then you meet a company that offers a way to make connected products personal, instinctual and truly targeted to the individual. I've been following the work of Neura, for a while and I met with their CMO, Kris Bondi, at Mobile World Congress in Barcelona to get an update on the company's progress and gain further insights. Effectively a B2B2C company, Neura has created an AI engine that turns IoT environments into connected universes that allow companies to connect with their customers during the most meaningful moments. Neura enables consumers to take control of their smart home devices – from Amazon Echo, Nest thermostat, Hue Lights, Ring smart doorbell, refrigerators and more – and make their smart homes more intelligent with the integration of true AI.
This is a guest post made with the Neura team who will also speak at the upcoming Hacking UI Master Class. Enjoy! The flag of personal artificial intelligence (AI) has already been firmly staked in the world of the Internet. When you visit Amazon.com, for instance, algorithms curate the contents o...
You're probably used to waking up to coffee, thanks to a pre-programmed machine. But what about an oven that offers breakfast options based on your health and recipes designed around your level of activity for the day? Or a thermostat that adjusts for the day's weather and knows when you're headed out? Or plumbing that alerts you to the exact location of a leak, or plugs that deliver electricity only when you need an item to work? Today Neura is introducing an AI solution that makes all of this a reality – turning IoT environments into truly connected universes that allow companies to connect to their customers during the most meaningful moments.
Neura AI taps myriad sources of data to predict your habits -- information that's incredibly useful to preventive medicine apps. Our smartphones go everywhere we go. To a certain extent, so do our smartwatches, fitness trackers, wireless health monitors, and wallet locators. But for the most part, they don't talk to each other. A Fitbit can't tap health information from a Wi-Fi glucose monitor.
Successful patient engagement is a hallmark of success in the world of digital health. Thinking beyond the mobile app or wearable technology itself, Neura, a Silicon Valley-based company that was founded in 2013, has created a software platform that leverages artificial intelligence (AI) to improve patient engagement for better health outcomes. By integrating with Neura's SDK, digital health technologies can dynamically key off of activity and lifestyle factors from the physical world around the user to contextualize the user experience for each individual. Today, Neura's platform is already being used to impact the $300B challenge of medication adherence. Medgadget had a chance to sit down with CEO and Co-Founder Gilad Meiri to learn more about Neura's platform and the company's vision for improving patient engagement.
In mobile marketplaces like the Apple App Store or the Google Play Store, there are thousands of apps that help track or care for personal health. And by and large, consumers have been big fans of these apps. According to an estimate from the Food and Drug Administration (FDA), more than 500 million smartphone users are actively using a health care-related application. And, according to the FDA's projections, more than 1.5 billion smartphone users will have downloaded a mobile health app by 2018. While these apps may enable users to take better care of their personal health, because they are designed for use by a mass audience, they often lack the personalization and one-on-one experience that health care typically requires.
By analyzing their tech ecosystems, activities, habits and metrics - we get you the insights and the knowledge you need. If you're interested to learn more about Neura, you can visit our website or developer site. It means that we tap into the relevant channels on the user's phone (Accelerometer, screen state, GPS and much more), then crunch the data with our Machine Learning algorithms. As a result of all that crunching, we arrive to actionable conclusions (API calls and profiles you can request) relating to the user's past, present and future. If the user agrees, they can share parts of this knowledge in return for tangible product-related value (e.g.