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Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities

Neural Information Processing Systems

In recent years, indoor air pollution has posed a significant threat to our society, claiming over 3.2 million lives annually. Developing nations, such as India, are most affected since lack of knowledge, inadequate regulation, and outdoor air pollution lead to severe daily exposure to pollutants. However, only a limited number of studies have attempted to understand how indoor air pollution affects developing countries like India. To address this gap, we present spatiotemporal measurements of air quality from 30 indoor sites over six months during summer and winter seasons. The sites are geographically located across four regions of type: rural, suburban, and urban, covering the typical low to middle-income population in India.


Top 10 Artificial Intelligence Companies to Watch in Transportation - Disruptor Daily

#artificialintelligence

She covers topics like artificial intelligence, augmented and virtual reality, blockchain, and big data, to name a few.Cas is also co-owner of an esports organization and spends much of her time teaching gamers how to make a living doing what they love while bringing positivity to the gaming community.


Stockspot becomes first Australian robo-advisor to integrate AI and machine learning into financial advice - Startup Daily

#artificialintelligence

Sydney fintech startup Stockspot has become the first robo-advice platform in Australia to integrate AI and machine learning functions into financial advice. The company has today announced the launch of its new digital financial assistant to help clients optimise their investment behaviour. The digital financial assistant works by analysing thousands of clients and making targeted recommendations. As it learns, the technology will provide consumers with intuitive assistance to help investors optimise their profile and coach them to make better investment decisions. Instead of being a financial advisor that makes recommendations through listening to clients, Stockspot will now give advice based on consumer behaviour and actions.


LegalVision raises 4.2 million Series B round to expand offering around Australia and explore machine learning - Startup Daily

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Sydney legal startup LegalVision announced today that it has secured 4.2 million in a Series B round to continue its growth in the Australian online legal market. The funding round was led by commercial law firm Gilbert Tobin, who previously made a strategic investment into LegalVision last November. LegalVision delivers legal services through a tech-driven business model, helping businesses around Australia access quality resources by providing startups and SMBs with access to more than 3,000 legal articles and 40 free legal documents. In just over three years the startup reports that it has assisted more than 15,000 business around the country. CEO of LegalVision, Lachlan McKnight said the backing of Gilbert Tobin and the latest round of funding is validation of the startup's goal and progress to date.


Poverty Could be Predicted from Space • Lighthouse News Daily

#artificialintelligence

Poverty could be predicted by reading the satellite images using artificial intelligence. By indicating the areas where the most help is needed, these images could help eradicate global poverty. One can make an idea of a country's wealth by examining how much it shines at night. A comparison between China and South Korea's intense brightness and North Korea's dark mass could be one of the best examples found by the scientists. This kind of information could only be obtained by sending legions of survey-takers in populated rural areas.


AI cruise control: China wants high-level artificial intelligence for next-gen missiles

#artificialintelligence

The Chinese military is looking to adapt its technology with the belief that future combat missions will require weapons to be both cost-efficient and flexible. They will also be based on a modular design, which will allow the missiles to be configured in regards to what mission they will be carrying out. "We plan to adopt a'plug and play' approach in the development of new cruise missiles, which will enable our military commanders to tailor-make missiles in accordance with combat conditions and their specific requirements," Wang Changqing of the China Aerospace and Industry Corp told China Daily newspaper. He added that Chinese engineers had been researching the use of artificial intelligence in cruise missiles for a number of years and that the country was the world leader in this field. However, he did not produce any evidence to back up his claims.


American Apparel blends AI, IoT with beacon-enabled digital displays - Mobile Commerce Daily - Multichannel retail support

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BOSTON – An executive from American Apparel at eTail East 2016 detailed how the brand is using an artificial intelligence and Internet of Things solution in which real-world displays interact with shoppers' phones to start a purchase-enabled thread with a chatbot. During the session, The Future Of Retail and the Convergence of Customer Centricity, IoT and Omnichannel, the executive also explained that American Apparel wanted to expand its mobile footprint but without having to immediately make an application, so it partnered with Postmates to introduce a delivery service that saw significant early adoption. The retailer's digital displays are leveraging beacon technology and chatbots to make it easier on customers to instantly purchase and find information about products featured in display ads in an attempt to expand its mobile reach. "I am a firm believe that native apps are being disrupted right now and they are being disruptive by chatbots," said Thoryn Stephens, chief digital officer at American Apparel. "We were actually already on that path before Zuckerberg and Facebook really made that push.


Trading Strategies to Exploit Blog and News Sentiment

AAAI Conferences

We use quantitative media (blogs, and news as a comparison) data generated by a large-scale natural language processing (NLP) text analysis system to perform a comprehensive and comparative study on how company related news variables anticipates or reflects the company's stock trading volumes and financial returns. Building on our findings, we give a sentiment-based market-neutral trading strategy which gives consistently favorable returns with low volatility over a long period. Our results are significant in confirming the performance of general blog and news sentiment analysis methods over broad domains and sources. Moreover, several remarkable differences between news and blogs are also identified.