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Silo AI and United Nations collaborate to fight AIDS with NLP and automated data processing

Silo AI and UNAIDS, the Joint United Nations Program on HIV/AIDS, collaborate to build an AI-driven solution to make data collection and analysis more efficient. As a result, Silo AI built an assistant that finds and summarizes relevant paragraphs from the source data as well as combines numerical data from various sources into a single source. The pilot project indicates that such a solution based on Natural Language Processing (NLP) and automated data processing can save an estimated 30–40% of time spent on data analysis by individual experts.

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Citizens of Silopolis: Vladislav Nenchev

Vladislav Nenchev is a Senior AI Engineer, specialized in natural language processing, mathematics, software development, and architectural design. Vladislav is a solid AI expert who comes with two decades of

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Citizens of Silopolis: Luiza Sayfullina

Luiza Sayfullina is a senior machine learning expert with 7+ years of experience in various machine learning projects. She holds a PhD in neural networks and natural language processing (NLP)

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TurkuNLP ranks #1 in global benchmarks

Finland’s TurkuNLP group has reached the highest aggregate ranking in the global natural language parsing Shared Task 2018, beating 25 other top universities and company research groups in performance. Filip Ginter, the head of TurkuNLP, is an AI scientist in Silo.AI’s NLP team.

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Silo.AI Stock prices AI

Relationship between news and company stock prices using AI

From text-based news, we extract company and network-level signals that show when companies are at higher probability of stock price decline. Using the described methodology, we were able to show that companies which reached the maximum risk value in our risk model, during any given quarter is up to 13 percentage points more likely to have stock price decline one month later than the average company.

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