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| September 17, 2013
Stratum International specializes in managing the best talent in mining, so we know the people you need before you know you need them.
Article | April 7, 2020
The Korea Advanced Institute of Science and Technology (KAIST) announced on April 6 that professor Yoo Hoi-jun and his research team have succeeded in developing a generative adversarial networks processing unit (GANPU) as an AI chip processing GAN with low power and high efficiency. The AI chip is capable of quickly processing arithmetic operations required for image synthesis and restoration on a mobile basis. The single chip is capable of realizing image recognition, inference, learning and determination with low power and high efficiency and is expected to contribute to the use of AI in mobile devices for more purposes.
Splunk extracts insights from big data. It is growing rapidly, it has a large total addressable market, and it has tremendous momentum from its exposure to industry megatrends (i.e. the cloud, big data, the "internet of things," and security). Further, its strategy of continuous innovation is being validated as the company wins very large deals. Investors should not be distracted by a temporary slowdown in revenue growth, as the company has wisely transitioned to a subscription model. This article reviews the business, its strategy, valuation the sell-off is overdone and risks. We conclude with our thoughts on investing.
Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease, and they can also assist in managing socio-economic impacts. Since the pandemic spreads quickly, there has been a rush to explore and deploy AI to cure and address the soaring demand of patient treatment infected by Coronavirus.
Homeless policy needs to join the big data revolution. A data tsunami is transforming our world. Ninety percent of existing data was created in the last two years, and Silicon Valley is leveraging it with powerful analytics to create self-driving cars and to revolutionize business decision-making in ways that drive innovation and efficiency.Unfortunately, this revolution has yet to help the homeless. It is not due to a lack of data. Sacramento alone maintains data on half a million service interactions with more than 65,000 homeless individuals. California is considering integrating the data from its 44 continuums of care to create a richer pool of data. Additionally, researchers are uncovering troves of relevant information in educational and social service databases.These data, however, are only useful if they are aggressively mined for insights, looking for problems to solve and successful practices to replicate. At that juncture California falls short.
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