Ever wondered how to get a clear picture of your health status? Scientists have come up with a new way using the International Classification of Functioning, Disability and Health (ICF). This model can mix different types of health data to create a personal health index. It’s like a health report ca
Cryptocurrencies have been grabbing headlines and investor attention lately. But before diving in, it's crucial to understand what makes crypto prices tick and which ones might be too risky. This piece explores how AI can help by analyzing historical data and on-chain parameters. You know, those bit
Ever wondered how scientists at CERN manage and share vast amounts of data? Enter AliEn and EDG, two powerful systems that help handle the data from the ALICE experiment at the Large Hadron Collider. AliEn, short for ALICE Environment, is like a digital manager that submits jobs and keeps track of d
Have you ever considered using Large Language Models (LLMs) for time series (TS) tasks? Instead of training new models from scratch, you can fine-tune existing LLMs to handle TS data. This approach is known as TS-for-LLM. The challenge with TS data is its complexity and scarcity. To tackle this, a
Ever thought about how AI can interpret complex connections like those in social networks or even our own bodies? Big language models, or LLMs, are throwing open doors in this sphere. Unlike needing tailor-made training, LLMs can tackle various tasks right off the bat. But how do they interact with
You know how AI apps, like chatbots or virtual assistants, often use language models to understand and respond to us? Well, these apps usually communicate with these models one step at a time, which can be inefficient. Think of it like trying to have a conversation by sending one text message at a t
Ever wondered how AI understands sports videos well enough to answer questions about them? It's a tough task, especially since there haven't been many datasets to help train these systems. Most video question-answering datasets focus on everyday videos, not sports where the actions are complex and p
Visualizing sports can be tricky because of the blend of space, time, and personal data. AR (Augmented Reality) and VR (Virtual Reality) tech promise exciting prospects, but also pose fresh challenges. Let's share what we've learned from working with sports experts. In the past, we've focused on ath
Imagine trying to turn live sports commentaries into news updates. It's a big task, and the data used now is often full of mistakes because computers collect and clean it. Also, there's a gap in knowledge between what's said live and what makes it into the news, which makes the job harder. In a new
Data mining is like digging for treasure in a huge pile of information. The London police noticed a sudden rise in crimes across different districts in 2017. They had no clue how to predict future crimes. To solve this, a team used a time series model called ARIMA to forecast crime rates in London.
