New York, N.Y. (March, 2022) — Applied XL, a real-time information company tracking disruptions to the health of people, places, and the planet, today announced it had raised $3.5 million in seed funding led by Hearst Ventures with the participation of the Boston Globe Media Partners and STAT, (which are…

STAT Trials Pulse provides biotech and pharma professionals with the earliest signals about clinical development through machine learning and editorial algorithms. NEW YORK, NY — Today, STAT, the nation’s must-read health, science, and medicine publication, and AI company Applied XL, announced the launch of STAT Trials Pulse, an artificial intelligence…

50 questions to ask companies responsible for developing, implementing and monitoring artificial intelligence systems. This interview guide offers a framework for understanding how to audit artificial intelligence tools implemented across the public and private sector. As these systems proliferate all parts of life, it is important to understand how to question specific algorithms, just as we question human decisions.

Any technology we imagine will become reality — even if decades later. In 1889, Jules Vernes foresaw live news: “Earth Chronicle is every morning spoken to subscribers, who, from interesting conversations with reporters, statesmen and scientists, learn the news of the day.” In 1980, CNN launched the first TV channel providing 24-hour news coverage. 2. Hugo Gernsback described news personalization back in…

Applied XL raises $1.5M to develop high precision AI systems that distill insights from big data, giving professionals and investors access to reliable life sciences information. — Humans are producing more information right now than we did at any point in history. We’re up to our eyeballs in data — data from the web, from sensors, from mobile devices and satellites, all growing exponentially. The amount of data created over the next three years will be more…

From a machine learning perspective, journalism is *simply* event detection applied to continuously updating data. Let’s look at an hypothetical example where there’s a lot of reliable data: Sports. …

This is why journalism must evolve into becoming an “Information Science” 1. The pandemic forced many news organizations to innovate how they use technology, rethink how they manage remote staff and make sense of huge amounts of complex information. Covid also demonstrated the importance of tracking data in real-time and making it a central reference for all reporting! 2. The…

1.A key premise of computational journalism is that news events can be explained with the same rigor used by scientists to study the natural world. Journalism is going through a process of “mathematization” and eventually evolve into *Information Science* How the Wall Street Journal is using Deep Learning to Inform Content Strategy Data scientists are working alongside journalists to explore how well-established machine learning methods can help to…medium.com

The crisis has shown a secondary, positive side effect: accelerating the speed of journalistic innovation. — The growing demand for information during the pandemic has not been met with an adequate increase in journalistic resources. In fact, the opposite has been true. According to the Poynter Institute, in the US alone over 33,000 journalists have been laid off, furloughed, or given pay cuts as a direct…