Artificial intelligence (AI) is becoming a greater part of multiple industries, including groceries. From product placement on store shelves to pricing adjustments, AI is affecting grocery stores and services across the world. Investments in AI are also increasing as more companies look to technology to remain competitive, and more consumers continue to shop online. Now, Hungryroot, an AI-enabled grocery service, has announced its Series C funding round of $40 million. The company has a $750 million valuation and offers a personalized online grocery service that uses AI and user quizzes.
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Mitigating the effects of disease outbreaks with timely and effective interventions requires accurate real-time surveillance and forecasting of disease activity, but traditional health care–based surveillance systems are limited by inherent reporting delays. Machine learning methods have the potential to fill this temporal “data gap,” but work to date in this area has focused on relatively simple methods and coarse geographic resolutions (state level and above). We evaluate the predictive performance of a gated recurrent unit neural network approach in comparison with baseline machine learning methods for estimating influenza activity in the United States at the state and city levels and experiment with the inclusion of real-time Internet search data. We find that the neural network approach improves upon baseline models for long time horizons of prediction but is not improved by real-time internet search data. We conduct a thorough analysis of feature importances in all considered models for interpretability purposes.
In early January of 2020, the US Centers for Disease Control and Prevention issued its first warnings about the potential spread of a flu-like pandemic. Days later, the World Health Organization notified the public of the dangers of the novel coronavirus Covid-19, and warned about the possibility of a dangerous outbreak. Despite the far-reaching resources of both the CDC and the WHO, a Canadian health start-up called BlueDot had already broken news of the threat to its users. It was able to do this using artificial intelligence and machine learning to spot patterns and track the spread of the virus. BlueDot's tracking system was the first of many AI-influenced technologies that are now being employed to fight the first global public health crisis of the decade.
The investments are aimed at better advising companies that face increasing scrutiny from investors on issues such as data privacy, diversity and sustainability, Mr. Ryan said. "It's critical that our people have those skills," he said. PwC in 2019 said it would invest $3 billion on technology and employee training over four years, part of which is being rolled into the new plan. The firm said last year it hired 63,000 people globally, largely to fill existing positions, but also created 8,000 new jobs. The firm said it has spent $7.4 billion on talent and other areas since 2016.
Are you a fan of "indicator variables", otherwise known as "binary flags"? Binary flags are two-state variables that can take on the value of 0 or 1. They work well for classifications that are binary. In #epidemiology, "alive" or "dead" is a good binary classification, as an example. There usually is an in-hospital mortality flag in hospital datasets I've gotten, and it's 0 if you left the hospital alive, and 1 if you were not so lucky.
Artificial Intelligence is reining the tech-driven era with its innovative cutting-edge technologies worldwide. Several science students are showing more interest in the vast field of Artificial Intelligence than the traditional five Engineering courses. The students are eager to learn more about Artificial Intelligence and its various categories to serve reputed companies for the welfare of society. Multiple eminent universities and institutes are offering admissions for Masters in Artificial Intelligence online due to the ongoing coronavirus pandemic. Interested students are not required to visit the campus when they can complete the programme through a laptop and a smooth internet connection at home.
One silver lining of COVID-19 is that it exposed failed legacy systems and processes, forcing organizations to digitally transform. One area that has benefited is education. There is a quiet revolution underway that is challenging assumptions we have held for more than a century. The success of so many EdTech companies over the past year shows us new ways to better address old challenges. Artificial intelligence, for example, is sometimes cast as a villain in education, displacing teachers.
One of the growing problems today is misinformation: the proliferation of fake news and misleading content across social media platforms. While artificial intelligence (AI) helps in its spread, there has been growing proof of how it can be used to curb this problem. However, more than just the daily news article, misinformation has far-reaching - and often fearsome - implications in more critical fields such as cybersecurity, public safety, medicine, and even science. In fact, there have been published collaborative papers, one appearing in the April 2021 issue of PNAS, tackling misinformation as a result of common human biases and prevailing practices in the critique and release of scientific papers. This even includes respected, peer-reviewed journals.
Deb Campbell, a senior staff member in the HADR Systems Group, started the session with a discussion of how to accelerate the national and global response to climate change. "Because the timeline is so short and challenges so complex, it is essential to make good, evidence-based decisions on how to get to where we need to go," she said. "We call this approach systems analysis and architecture, and by taking this approach we can create a national climate change resilience roadmap." This roadmap implements more of what we already know how to do, for example utilizing wind and solar energy, and identifies gaps where research and development are needed to reach specific goals. One example is the transition to a fully zero-emission vehicle (ZEV) fleet in the United States in the coming decades; California has already directed that all of the state's new car sales be ZEV by 2035.