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.
Google has completed its $2.1 billion purchase of Fitbit, more than a year after the deal was first announced. The EU approved the acquisition in late December, clearing the way towards Google's ownership over what is perhaps the best-known brand out there for mainstream fitness-tracking devices. Fitbit co-founder and CEO James Park reiterated in a letter today that Fitbit would continue to be device-agnostic, making products that work with both iPhones and Android devices. Both Park and Google's Rick Osterloh also reiterated that this deal was always about "devices, not data." That's shorthand for Google and Fitbit's pledge to keep user data private going forward; Park said that "Fitbit users' health and wellness data won't be used for Google ads and this data will be kept separate from other Google ad data."
Clean is king during the pandemic, and that germ-conscious mentality, along with the prevalence of masks and hand sanitizer, likely won't go away once vaccines are distributed en masse. For robotics developers, promoting employee and customer confidence in the workplace through new health and safety tools is a prominent business priority for 2021. The clearest example is the surge in disinfecting robots, which were a niche product relegated primarily to the healthcare market prior to last year. Now businesses of all stripes, from offices to shipping warehouses and grocery stores, are investing in disinfecting technology as a crucial prong of workplace safety. Disinfecting robots come in various stripes, including floor mopping robots like those supported by automation firm Brain Corp. UV light has proven a favorite disinfecting tool among developers, which isn't surprising given how adaptable the technology is to existing automation platforms.
New York – There is no question that we are all more dependent on technology than ever. So what happens when that tech does not work? In the past, Emily Dreyfuss used an old-school strategy: She yelled. When Amazon's Alexa spat out wrong answers or misunderstood questions, Dreyfuss let the virtual assistant have it. "I used her as a scapegoat for my feelings," said Dreyfuss, a writer and editor for Harvard's Shorenstein Center.
Cheating on your diet could lead to weight gain, but if you follow the Mediterranean diet and switch to unhealthy foods you may also make your brain age faster. A team from Rush University Medical Center found that adding in foods from the Western diet, such as pizza, sweets and processed meats, reverse cognitive benefits from the Mediterranean diet. The study examined more than 5,000 individuals over the age of 65 from 1993 to 2021 and over the course of three years participants were asked to complete cognitive tests and report on how often the ate certain foods. Researcher recently compiled the data and found those who stuck to the Mediterranean diet had brains that were nearly six years younger than their peers on the Western diet. The Mediterranean diet is inspired by the eating habits of Spain, Italy and Greece, and focuses on consuming more fruit and fish and limiting sugar, dairy and processed foods.
Researchers at the University of California San Diego have devised an artificial intelligence (AI) tool to predict the level of loneliness in adults, with 94% accuracy. The tool used Natural Language Processing (NLP) developed by IBM to process large amounts of unstructured natural speech and text data. It analysed factors like cognition, mobility, sleep and physical activity to understand the process of aging. This tool is an example of how AI can be used in devices to detect mental health conditions. Market research firm Gartner predicts, by 2022, your personal device will know more about your emotional state than your own family members.
Discourse information, as postulated by popular discourse theories, such as RST and PDTB, has been shown to improve an increasing number of downstream NLP tasks, showing positive effects and synergies of discourse with important real-world applications. While methods for incorporating discourse become more and more sophisticated, the growing need for robust and general discourse structures has not been sufficiently met by current discourse parsers, usually trained on small scale datasets in a strictly limited number of domains. This makes the prediction for arbitrary tasks noisy and unreliable. The overall resulting lack of high-quality, high-quantity discourse trees poses a severe limitation to further progress. In order the alleviate this shortcoming, we propose a new strategy to generate tree structures in a task-agnostic, unsupervised fashion by extending a latent tree induction framework with an auto-encoding objective. The proposed approach can be applied to any tree-structured objective, such as syntactic parsing, discourse parsing and others. However, due to the especially difficult annotation process to generate discourse trees, we initially develop a method to generate larger and more diverse discourse treebanks. In this paper we are inferring general tree structures of natural text in multiple domains, showing promising results on a diverse set of tasks.
We are delighted to announce the launch of our focus series on AI for Good: UN sustainable development goals (SDGs). Each month we will pick a different sustainable development goal (SDG) and highlight work in that area. For this first issue we will be publishing a series of articles on SDG number three: "good health and well-being". There are numerous examples of AI usage in healthcare. We have an exciting selection of articles coming up covering the latest research, news, opinions, and expert insight connected to the use of AI in healthcare.
Leveraging social media data to understand people's lifestyle choices is an exciting domain to explore but requires a multiview formulation of the data. In this paper, we propose a joint embedding model based on the fusion of neural networks with attention mechanism by incorporating social and textual information of users to understand their activities and motivations. We use well-being related tweets from Twitter, focusing on 'Yoga'. We demonstrate our model on two downstream tasks: (i) finding user type such as either practitioner or promotional (promoting yoga studio/gym), other; (ii) finding user motivation i.e. health benefit, spirituality, love to tweet/retweet about yoga but do not practice yoga.
Despite everything we've all been through, though, there were a few bright spots in the world of tech. Console makers blessed us with mouthwatering next-gen hardware, while Apple wowed the industry with the prowess of its own M1 CPU. Google also delivered an excellent phone for just $350, demonstrating an ability to not just read the room, but also to think of a world beyond a well-heeled tech-savvy audience. There are also companies that flourished during the global lockdown, and though truth continued to be contested throughout the US elections, we thankfully saw social media step up their efforts to combat misinformation. Clearly, staying home gave some of us the freedom to produce great products and fight for good. Apple's M1 system on a chip (SOC) may be tiny, but its impact on the computing industry will be felt for years to come. The first of Apple's silicon to reach Macs, the M1 is a powerhouse, with 8 CPU cores and up to 8 GPU cores. Both the M1-equipped MacBook Air and MacBook Pro blew away comparable Intel or AMD-based PCs in the Geekbench 5 benchmark.