One Drop, a leader in the development of digital therapeutics solutions for people with diabetes, today announced the launch of Blood Glucose Prediction and Automated Decision Support. Through these new features, the One Drop Mobile app will provide users: (1) blood glucose "forecasts" up to 12 hours into the future; and (2) behavioral recommendations based on those forecasts, thereby empowering users to manage diabetes proactively and reduce the risk complications. Through One Drop's predictive analytic capabilities, people with diabetes will now be able to receive actionable insights into how their behavior (diet, physical activity, etc.) affects their blood glucose levels, without any intervention from a health care provider. The app will simply display insights for the user as they become relevant. Blood glucose predictions come from One Drop's machine learning models, which are powered by over 1.1 billion data points collected by more than 860,000 One Drop Mobile app users worldwide.
NEW YORK: The outcome of robotic-assisted surgery and traditional open surgery are equally effective in treating bladder cancer, say researchers, led by one of an Indian-origin. The results, published in the journal The Lancet, may help patients and doctors to make informed decisions on the use of robotic surgery, which is not cheap, the researchers said. There has been an assumption that patients who receive robotic surgery will perceive a better quality of life than patients who have open surgery. However, the trial showed that both groups had a significant return to their previous quality of life, and there was no advantage of one group over the other at three and six months after surgery. "We have done more than four million surgeries with the robotic approach since the device came into existence, and on average we do close to a million robotic surgeries a year globally," said Dipen J. Parekh, Chief Clinical Officer at the University of Miami, Florida in the US.
Few user companies and organisations are putting artificial intelligence (AI) to work at significant scale, according to a McKinsey Global Institute (MGI) discussion paper. It shows AI adoption outside the technology sector to be exiguous and experimental, deployed commercially in only 12% of 160 use cases. Check out the latest findings on how the hype around artificial intelligence could be sowing damaging confusion. Also, read a number of case studies on how enterprises are using AI to help reach business goals around the world. You forgot to provide an Email Address.
History does not always make things easy for geniuses. When John McCarthy (1927-2011) was born in Boston on the eve of the Great Recession to a humble family of European immigrants, little seemed to presage that this child prodigy was to become a worthy successor to Alan Turing. The delicate health of John's little brother led the McCarthy family, who roamed the country in search of work opportunities, to settle in Los Angeles. It was there that John, a teenager already outstanding in mathematics, came into contact with the California Institute of Technology, Caltech, and taught himself college level mathematics after asking for their used textbooks. The future father of artificial intelligence tried to study while also working as a carpenter, fisherman and inventor (he devised a hydraulic orange-squeezer, among other things) to help his family.
Early adopters are ramping up investment in artificial intelligence (AI) technologies in 2018 reveals an AI study conducted by Constellation Research. Sixty percent of C-level executives surveyed say their organizations plan to increase investment in AI by over 50% compared to last year (Figure 1). AI budgets, however, remain relatively modest with 92% of respondents expecting to spend less than $5 million on AI in 2018. Modest AI budgets signal cautious adoption and deployment of foundational AI technologies for now. However, because AI often delivers successes exponentially, Constellation expects AI budgets to continue to rise by more than 50 percent annually for the next four to five years as AI R&D yields bigger successes at an increasing pace.
A new robotic system developed by UPM researchers and AURA Innovative Robotics Company can help diagnose neurodegenerative diseases, such as dementia and Parkinson, through the analysis of eye movements. OSCANN Desk is a non-invasive technology developed by researchers from Universidad Politécnica de Madrid (UPM) and the company AURA Innotive Robotics, led by Cecilia García Cena that with a simple and fast test can provide data about brain functioning through the measurement of eye movements. This new system is in the phase of clinical trial authorized by the Spanish Agency of Medicines and Medical Devices in six Spanish hospitals and, thanks to techniques of imaging processing and machine learning, its results will allow doctors to early diagnose neurodegenerative diseases and carry out customized treatments. The diagnosis process of a neurodegenerative disease takes time since symptoms are complex to assess in the early stages of the disease. Besides, there are symptoms that are common to other neurodegenerative diseases such as tremors.
Earlier this year, while Myanmar and Sri Lanka were caught in the throes of social media-fuelled communal violence, watchdogs and analysts studying the phenomenon of misinformation also turned their attention to Karnataka, where things seemed to be headed the same way. Last month's state elections were considered to be a preview of sorts for the 2019 national elections, with opposing factions wielding the power of the Internet to compete with each other. A so-called BBC poll indicating that the BJP would win 135 seats -- fake. A 20-second clip of Congress President Rahul Gandhi "exposing" former Karnataka chief minister Siddaramaiah's corruption (retweeted by minister Smriti Irani) -- a 2013 video taken completely out of context. These were just two of the claims negated by BOOM, a fact-checking website that partnered with Facebook during the lead up to the elections.
You don't have to write even a single line of code to win this competition. So for all those who knows the concept part but are not from a coding background can finally not only participate but also win it and for others they finally don't have to worry whether the code will compile or not? Today soda bottle companies send a person to stores to find out if they need to restock some soda bottles that have run out on weekly basis. There are 100s of thousands of these coolers at different stores all across the world. This takes large amount of human labor in travel and counting bottles.
B2B marketers should be pissed. For the past ten or fifteen years, we've heard a steady stream of pitches that promise a 1:1 relationship with our target audience. Unfortunately, the reality has not matched the promises. In fact, I'd argue that the technology we've deployed has, in many cases, pushed us further away from that 1:1 connection. We fell in love with technologies that by their very nature, focused on volume rather than relationships.
Two algorithms, collectively called Deep Cube, typically can solve the 3-D combination puzzle within 30 moves, which is less than or equal to systems that use human knowledge, according to the research paper. Less than 5.8% of the world's population can solve the Rubik's Cube, according to the Rubik's website.