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Showing posts from February, 2018

Stethee reinvents the stethoscope to build a cardiac data cloud

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An FDA-approved digital stethoscope opens the door to better diagnoses by an increasing number of healthcare providers, supplying artificial intelligence with data about the world's heartbeats. There are about two devices -- one wearable -- that are improving consumers' ability to monitor their intake of food and medication. While currently most of the health tracking gadgets in the marketplace have been sold directly to consumers, there are significant benefits to improving the tools used by physicians. To address this, Dr. Nayyar Hussain, who has a background spanning sports medicine and engineering, has worked with health and technology experts from Texas A&M University, MIT and the Mayo Clinic to create a product that challenges what he calls unmotivated monopolistic medical device companies. Targeting a tool synonymous with doctors,  Stethee  is a digital stethoscope that sends amplified heartbeat sounds to a companion app in real time. It houses a dual-core AR

MIT creates energy-efficient chips for Internet of Things device encryption

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IoT's limited capabilities have caused issues for security, but perhaps, no more. Researchers from the Massachusetts Institute of Technology (MIT) have developed processors capable of providing encryption to low-power devices.The Internet of Things (IoT), including embedded industrial sensors, smart lighting, and monitoring systems, can be invaluable for the enterprise. These devices tend to have minimal power demands, can operate on Low-Power Wide-Area Networks (LPWAN), and have entered the enterprise, industrial scene, and consumer realm rapidly over the past few years. However, when there is little power to draw upon, security can sometimes be an issue as there are no resources or means to implement traditional security solutions.Encryption, for example, is a sticking point for today's IoT devices. While many of our online transactions and communication are protected by public-key cryptography, many IoT devices cannot support individual encryption implementations d

Microsoft has a clean slate problem

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Microsoft continues to improve Windows on the desktop and take it to devices such as the Hololens. However, it continues to struggle in efforts to make a clean break with the operating system's past. Microsoft's Surface Laptop debuted with Windows 10 S. When it became clear that Windows 10 for Phones was chasing Windows Phone, Windows Mobile and Windows CE went gently into that good night. As Microsoft poured resources into supporting Android and iOS, some loyalists questioned the company's commitment to its own champion OS. But that is frankly laughable. Microsoft continues to invest deeply in Windows and devices optimized for it. It has brought it to the futuristic devices such as the Hololens. It continues to refine the user experience on the desktop. And its roadmap continues to evolve. Windows and its traditional PC associations have had a poor track record. These have included Windows 8, which virtually ignored the desktop in the

Lessons learned from Google's application of artificial intelligence to user experience

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Google developed an intelligent camera that learns what photos are meaningful to users. Behind the product is human-centered machine learning. Google's user experience (UX) proponents have shared how they have been able to apply a potent new tool to promote and embed human-centered design into the site's projects: machine learning. In a recent  post , Josh Lovejoy, UX Designer for Google, describes the process he and his team employed to integrate what they call "human centered machine learning" into a recent initiative. Machine learning systems were trained to seek out the best photos -- but it required a great deal of training to get the model right, Lovejoy relates. Plus, quite a bit of rethinking was required to reduce the complexity of the user interfaces."Our team at Google works across the company to bring UXers up to speed on core [machine learning] concepts, understand how to best integrate machine learning into the UX utility belt, and ensure w