Imagine matching your phone to any clothes you own, as a new flexible smart watch. That's the promise Motorola and its parent company Lenovo made this week with the company's new Adaptive Display Concept. Dubbed the world's first wearable smartphone, the devices features a seemingly conventional 6.9-inch full HD phone, with a display that can wrap around your wrist like a jangly bracelet. But the upcoming bendy phone, backed with an orange fabric that connects to a magnetized wrist strap, has more versatility beyond smart watch and smartphone. What's more, the wearable device has an onboard generative AI that can study your current outfit and whip-up a fresh wallpaper pattern that will help match your chunky, new'smart watch' to your current ensemble.

Prof. Sihong Wang shows a single neuromorphic device with three electrodes. Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME) have developed a flexible, stretchable computing chip that processes information by mimicking the human brain. The device, described in the journal Matter, aims to change the way health data is processed. "With this work we've bridged wearable technology with artificial intelligence and machine learning to create a powerful device which can analyze health data right on our own bodies," said Sihong Wang, a materials scientist and Assistant Professor of Molecular Engineering. Today, getting an in-depth profile about your health requires a visit to a hospital or clinic. In the future, Wang said, people's health could be tracked continuously by wearable electronics that can detect disease even before symptoms appear.

Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal, economic, and logistic issues. Synthetic data generation tools, in this regard, provide a potential solution. However, we believe that already available such tools do not adequately reflect cognitive deficiencies in behavior simulation. To counter these issues we propose a simulation model (SimDem ) that primarily focuses on cognitive impairments suffered by PwD and can be easily configured and adapted by the users to model and evaluate assistive solutions.

So lately I've been commenting on a terrific book written by Professor John Lennox. It's called 2084; It's all about the development of Artificial Intelligence. Today, I wanted to discuss some of these incredible advances but more specifically how they will benefit the medical industry. I didn't realize just how far we had come in the past few years with Artificial Intelligence. In his book 2084, Lennox reports that at the University of Toronto, engineers have harnessed the powers of machine learning in generating X-rays which augment training sets.

If you've made some resolutions to improve your health and fitness for 2021 or want to get the family more active during lockdown 3.0, then a fitness tracker is a brilliant gadget for helping you stay accountable. You may previously have been put off by their high price point, but thousands of Amazon shoppers have discovered an incredibly affordable option - and it's a pretty decent dupe of the more expensive models including the Fitbit Versa. The TEMINICE High-End Fitness Tracker is just £31.44 yet comes with an impressive amount of features including all-day activity tracking like steps, distance, calories burned and active minutes, as well as heart and sleep monitoring. It even receives calls and notifications. The TEMINICE High-End Fitness Tracker is the number one bestselling pedometer on Amazon - and it only costs £31.44 The list of features and the full-touch colour screen has meant it's scored highly with shoppers.

Introducing IoT & AI Artificial intelligence helps machines to behave like humans such as face recognition, decision making, learning and solving problems. Artificial Intelligence are used for learning and making self-decisions by using the process of complex organized or unorganized data. This technology has given a new horizon to the digital world like the way smartphones made a change in our lives. Every day, we get to hear about new upgrades and new technologies bringing rapid change in the globe. With every change, the tech world is also growing resulting in advanced technology which is bringing us closer. Such an example is the development & advancement of IoT or internet of things. Here artificial experience plays the role to speed up user experience. Before getting into the technical skills of IoT, lets understand what is it and where is it required? (Picture Reference: https://www.reply.com/breed-reply/en/content/why-are-ai-and-iot-perfect-partners-for-growth) Actually IoT cannot work without AI. Why? Internet of things (IoT) is a network of technologies or sensors that contains some advance technology embedded into it. It helps in communicating and interacting with their data. The process involves receiving and transferring data through the network without human interactions or human to computer involvement. These data from devices or sensors can be stored in the cloud and it can be made available for real-time analytics. IoT collects these vast amount of data from different environment. With the help of data science and applying analytics, AI converts these collective data into applications. So the whole process involves collecting and processing data. AI and IoT: Why Do We Need It? According to a report, companies like Deloitte have already using AI and IOT for establishing themselves in the market in 2017.  So why is it so important? Actually artificial intelligence has become a perfect solution to manage multiple connected IoT elements, its unlimited processing and learning abilities. These are considered to be quite useful for making sense of millions of data transmitted by IoT devices. (Reference: https://www2.deloitte.com/insights/us/en/focus/signals-for-strategists/intelligent-iot-internet-of-things-artificial-intelligence.html ) How Does The Steps Takes Place? We can call IoT as the data “supplier” while machine learning can be considered as data “miner.” The process takes place as follows: IoT sensors supplies millions of data points. The “miner” or machine learning identifies the relations between them Extract meaningful insight from these variables. Transport it to the storage for further analysis. (Picture Reference: https://www.business2community.com/big-data/iot-big-data-ai-new-superpowers-digital-universe-01926411) Earlier the traditional analytical approach was used which was as follow: The system gathers past data. Data processing. Generate reports. Thus we can conclude that IoT and machine learning works more on prediction. It starts with the desired outcome and searches interactions between input variables to produce results. As more data are being received and aggregated, the system returns even more accurate predictions due to its smart thinking. In this way, businesses can conclude to a perfect decision without actual “thinking” or human interaction. How IoT Benefits From AI? Soon, IoT would produce vast amount of data due to the rapid growing of devices and sensors. According to a research, 50 billion devices will be connected to the internet by 2020, ranging from smartphones, gadgets, smart watches, various computer systems and vehicles. These data would be a lot helpful for various things such as predicting natural calamities, accidents and crimes, helps doctors getting real-time information from medical equipment, optimized productivity across industries, predictive maintenance on equipment and machinery, create smart homes with connected appliances and provide critical communication between self-driving cars. The possibilities are endless. (Picture Reference: http://www.starproperty.my/index.php/articles/property-news/what-is-the-internet-of-things/) These big data are important only when it is transformed into valuable and actionable information within a given time period. Obviously it is not possible for human hands to do it. This is where artificial intelligence comes into play. AI collects the data and extracts the meaning from it by applying analytics. When we feed data from IoT devices into an AI system, it reviews and analyzes the data, produces decisions made either by machines or humans. (Reference: https://www.zdnet.com/article/what-is-the-internet-of-things-everything-you-need-to-know-about-the-iot-right-now/) Examples showing implementing AI in IoT applications. Smart decisions. When a device detects unusual conditions due to any error, it needs to know how to and when to react or whether it need human assistance. Obviously intelligent learning and decision-making capabilities are required to make such wise decisions. Google uses this approach in the Rank Brain algorithm. Once the solution is made, it responds in real-time without any human intervention. (Reference: https://searchengineland.com/faq-all-about-the-new-google-rankbrain-algorithm-234440) Smart Meters. Smart meters use specially designed sensors, incorporated into smart grids to record and upload electrical and background data. Here Artificial Intelligence techniques are applied to the grid to integrate privacy. They are used in every electricity consumption unit. Not only does they have the bidirectional flow of both electricity, they are equipped with real-time sensors which collects data on relevant factors that includes frequencies used by different equipment and appliances. (Reference: https://iot.eetimes.com/smart-meters-and-ai-take-on-electrical-grid-load-forecasting/) Boosting efficiency. Machine learning with AI can decipher trends and make predictions about future events, by applying predictive analytics. This shows the real benefits of IoT in a variety of manufacturing industries. Healthcare. In the healthcare sector, AI with IoT can improve patient care. Sensors from medical devices such as healthcare mobile apps, fitness trackers and digital medical records have been producing and storing patient’s data. The AI and IoT approach can help predict diseases, suggest preventive maintenance, track physical activity, heart rate, body mass, temperature and provide drug administration by reviewing the medical history and identifying the health problem. When it is regarding health protection or disease control, patients and doctors would accept the benefits that come with the AI and IoT approach. (Reference: https://blogs.sas.com/content/sascom/2018/05/01/how-will-iot-and-ai-drive-transformation-in-health-care-and-life-sciences/) Forecasting. Accurate forecasts help farmers to plan farming or harvesting. Train or plane schedules fully depends on weather forecasting to modify for expected weather interruptions. Businesses that are weather dependent, such as landscaping or utility companies can accurately employ labor and resources according to expected weather events. AI can help make more accurate forecasting. Artificial intelligence (AI) techniques apply its method on past predictions and actual outcomes. By comparing predictions with outcomes, it produces results for the future, with greater accuracy. AI feed both old and currently available data into algorithms that effective at past occurrences with future predictions. (Reference: https://www.wired.com/brandlab/2018/05/bringing-power-ai-internet-things/) Scalability. IoT can scale data. It means: AI extracts information from one device. Analyses and summarizes the data. Transfer it to the other. Thus it reduces the enormous amount of data to a lesser amount and enables a larger number of IoT devices to be connected to the network. This is called scalability. (Picture Reference: https://www.nextgenexecsearch.com/iot-enables-smart-cities/ ) Smart Devices: Today we have basic things fitted with technology like smart TV, smart watch, smart security system. Even we have “intelligent” vacuum cleaners, doorbells and lightning systems which have already come to the market. All this is due to artificial intelligence and it do makes life easier. AI can make life in smart homes even more comfortable. It can detect your mood and analyze your interaction with home objects such as Adjusting temperature for both heating and cooling. Adjusting lighting. Put on music of your choice. Close or open windows depending on the weather. Conclusion The IoT and Artificial Intelligence (AI) will play a vital role in the future as it has become a growing need for technologies in both private and government sectors. Engineers, scientists and technologists have already started to implement it in various levels. The potential opportunities and benefits of both AI and IoT can be gained once they are combined, both at the devices end as well as at the server. (References : https://www.wired.com/brandlab/2018/05/bringing-power-ai-internet-things/, https://www.ariasystems.com/blog/iot-needs-artificial-intelligence-succeed/ , https://www.techemergence.com/artificial-intelligence-plus-the-internet-of-things-iot-3-examples-worth-learning-from/ ) Written by: Ayanti Goswami

Diseases resulting from prolonged smoking are the most common preventable causes of death in the world today. In this report we investigate the success of utilizing accelerometer sensors in smart watches to identify smoking gestures. Early identification of smoking gestures can help to initiate the appropriate intervention method and prevent relapses in smoking. Our experiments indicate 85%-95% success rates in identification of smoking gesture among other similar gestures using Artificial Neural Networks (ANNs). Our investigations concluded that information obtained from the x-dimension of accelerometers is the best means of identifying the smoking gesture, while y and z dimensions are helpful in eliminating other gestures such as: eating, drinking, and scratch of nose. We utilized sensor data from the Apple Watch during the training of the ANN. Using sensor data from another participant collected on Pebble Steel, we obtained a smoking identification accuracy of greater than 90% when using an ANN trained on data previously collected from the Apple Watch. Finally, we have demonstrated the possibility of using smart watches to perform continuous monitoring of daily activities.

Imagine a not so distance future where the produce you eat is entirely farmed by machines. The weather predictions are accurate. Drone are flying around acting as the new package delivery system. Virtual assistance so advance that replace human assistance to the point we can't tell if it is a person or a human speaking to us. Imagine an eco system of all your devices all working together; interlinked by a your user account.

Wearable devices can be used to detect the early signs of diabetes using an artificial intelligence (AI) network called DeepHeart and developed by Cardiogram, a study has found. Some 32m people in the US have diabetes, while a further 70m people are thought to be living with so-called pre-diabetes, according to GlobalData figures. With 88 percent of people who are pre-diabetic unaware of their condition, and one in four cases of diabetes going undiagnosed, DeepHeart could provide an easy and affordable means of diagnosing a condition with ever-increasing societal importance. The combination of AI and smart watches is another win for tech giants Apple and Google, as they continue to explore the realm of digital health. Apple's intentions to become a key player in the healthcare space are clear.

"This is a new category of product distinct from the connected fitness category of the last several years that includes activity trackers, smart watches, and connected fitness equipment like Peloton bikes," Webster says. "We believe the opportunity is not to replace world-class coaches with AI, but to instead use technology to give everyone access to world-class coaching anywhere, any time, in any sport." It sounds great--and the idea certainly is forward-thinking. But the thought of overhauling how we seek instruction and receive necessary feedback in the gym still feels far off. The current wave of fitness tech (smart watches, activity trackers, and connected workout bikes) has found a solid foothold in the marketplace, but, as cool as these gadgets are, each of them is still fighting to become a necessity.