Wikipedia, a well-known online encyclopedia, recently announced new partnerships with major AI companies. These deals include collaborations with Amazon, Meta Platforms, Perplexity, Microsoft, and Mistral AI. This move comes as Wikipedia celebrates its 25th anniversary. The online encyclopedia, whi
Data is like a puzzle piece. It can be used to solve big problems. But what if researchers keep their data to themselves? Progress slows down. That's why the National Cancer Institute (NCI) created the Paul Fearn Award. It celebrates researchers who share their data openly. This is not just about sh
Wikipedia's co-founder, Jimmy Wales, has a lot to say about trust. His new book, "The Seven Rules of Trust, " talks about how trust can be built in big groups, like businesses, governments, and even online spaces. He believes that trust is built on purpose, being nice, and working together. Wikiped
Data is becoming a big help in the fight against germs. But just having data isn't enough. The real challenge is using it in the right way. Right now, there's a lot we don't know about what infectious disease control (IDC) experts need from data to do their jobs better. Using data in IDC is still n
Data can tell us a lot. But how can we make it more engaging? One way is through sound. This is called sonification. It turns data into sound. But most sonification tools are not interactive. They don't let users play around with the sounds in real-time. That's a problem because interaction can help
Data centers are like the brains of many businesses. They hold important information and keep things running smoothly. But as these centers grow, keeping data safe becomes a big challenge. One way to tackle this is by using a special method called broadcast signcryption. This method helps to send se
Data is everywhere, and it's growing at an incredible pace. In 2024, the world created, copied, or consumed about 149 zettabytes of data. To put that into perspective, one gigabyte can hold around 200 songs or 30 minutes of HD video. Now, imagine multiplying that by 149 trillion. That's the amount o
Data is crucial for businesses, but getting it ready for use is often a tedious task. Google Cloud has introduced AI agents to make this process easier. These agents can handle various data tasks, from creating pipelines to performing machine learning workflows. The goal is to reduce the 80% of time
Data holds secrets. It can reveal hidden patterns and rules that govern how things work. This is what symbolic regression aims to do. It digs through data to find the math formulas that describe how things relate to each other. However, it is not easy. The number of possible formulas is huge.
Data hierarchies are a big deal. They're everywhere, from families living together to cities packed with neighborhoods. When researchers want to figure out why things happen, they need to understand these layers. This is especially true when looking at complex issues like non-communicable diseases.
