Tag: News

Feed: Neo4j Graph Database Platform. Author: Enzo. Welcome back, everyone, and welcome to 2022! 2021 flew by like no other (arguably faster than 2020, I’d say). It’s hard to believe I’m writing a winter edition of our news round-up, having already wrapped up the holiday season. Over the last few months, we’ve read and spoken a lot about the immense growth at Neo4j, including a new funding round and board appointment, how to truly understand our data amongst the deluge, and the ongoing challenges of cybercrime (an evergreen theme, it seems). Wrapping up the year has been nothing short of ... Read More

Feed: SingleStore Blog. Author: . As we start the new year, we wanted to share a few highlights of customer, product and developer community news from SingleStore in 2021. It has useful information for learning about distributed SQL databases, data-intensive applications and the outcomes developers are achieving, so you may want to bookmark this post. To learn more about SingleStore company milestones this past year, check out our CEO Raj Verma’s post.In 2021, we added the most new customers ever in the company’s history, expanded use significantly with existing customers and celebrated some customers’ IPOs. The new customers are innovators ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen.   A new study evaluates ML models that classify fake news from fact. The best models can only achieve up to 77.2% accuracy. AI will probably never be able to fully replace the nuanced analysis of human journalists. Many Natural Language Processing (NLP) techniques exist for detecting “fake news”. Multi-phase algorithms with Determined Decision Trees, Gradient Enlargement, and others have been used by various researchers and organizations with varying results. One study from researchers at Rensselaer Polytechnic Institute reported 83% accuracy in predicting whether a news article is from a reliable or unreliable ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen.   A new study evaluates ML models that classify fake news from fact. The best models can only achieve up to 77.2% accuracy. AI will probably never be able to fully replace the nuanced analysis of human journalists. Many Natural Language Processing (NLP) techniques exist for detecting “fake news”. Multi-phase algorithms with Determined Decision Trees, Gradient Enlargement, and others have been used by various researchers and organizations with varying results. One study from researchers at Rensselaer Polytechnic Institute reported 83% accuracy in predicting whether a news article is from a reliable or unreliable ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. While many had no idea what to expect of the year 2021, I think it shaped up to be an interesting, and – shall I say – a very eventful one! Yes, we did still face challenges, like supply chain disruptions, remote work woes, and virtual events, to name a few… but we also celebrated the growth of our company and the industry, new board members, products, and more. Now, let’s take a quick walk down memory lane and reflect on what made this year so remarkable! Big News for Neo4jSeries Fundings and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Stephanie Glen.   A new study evaluates ML models that classify fake news from fact. The best models can only achieve up to 77.2% accuracy. AI will probably never be able to fully replace the nuanced analysis of human journalists. Many Natural Language Processing (NLP) techniques exist for detecting “fake news”. Multi-phase algorithms with Determined Decision Trees, Gradient Enlargement, and others have been used by various researchers and organizations with varying results. One study from researchers at Rensselaer Polytechnic Institute reported 83% accuracy in predicting whether a news article is from ... Read More

Feed: R-bloggers. Author: Appsilon. Shiny Weekly has officially launched! The Shiny Weekly newsletter is our way of creating a central resource for R Shiny news from the R community. We’re so thankful to those who manage R news aggregators and to those of you who post quality, informative content. We feel that a centralized newsletter for Shiny has been a long time coming, and as the global leader in enterprise Shiny dashboards, Appsilon is well-equipped to offer this service to the R community. Sign-up for Shiny Weekly and receive the latest news in R Shiny. For information on how to ... Read More

Feed: Neo4j Graph Database Platform. Author: Angela Zimmerman. And just like that, summer is over. Yet, somehow I feel it’s only just begun! It’s incredible how quickly time goes by, and it seems as though each and every quarter gets more and more exciting. A number of key themes have emerged over the last three months. The most prevalent have been explainable AI, the low-code/no-code movement, space, and of course, the growth of the graph technology market! When it comes to explainable AI, it’s clear that AI has played a huge role in transforming many areas of life and business ... Read More

Feed: SAS Blogs. Author: Kelly LeSage, MS, RDN, LDN, IFNCP. As a species, our bodies are hard wired to love sweet! This came in handy back when we were roaming the earth trying to stay alive and figuring out what we could eat. Sweet usually meant safe, but unless you came upon a beehive full of honey or found some ripe fruit, sweet is hard to come by out in nature. Fast forward about 12,000 years and now sugar is everywhere and in most of the foods we find in our grocery stores. Even naturally sweet foods like fruit have ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Rayan Potter. In the media and communication industry, writers are frequently confronted with huge volumes of textual material. They are having significant difficulty extracting structured knowledge from these papers, and the text is being underutilized, perhaps leaving critical information unknown. Machine learning techniques can assist, but they require a thorough understanding of the information required and manual annotation of the corpus. Before going further, let's understand what annotation, types, and how it is helping machine learning models to perform accurately. What are annotations? Annotation is the process of labeling data which ... Read More