A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could impact fields from aircraft certification to climate modeling.A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could impact fields from aircraft certification to climate modeling.[#item_full_content]

Ready for that long-awaited summer vacation? First, you’ll need to pack all items required for your trip into a suitcase, making sure everything fits securely without crushing anything fragile.Ready for that long-awaited summer vacation? First, you’ll need to pack all items required for your trip into a suitcase, making sure everything fits securely without crushing anything fragile.[#item_full_content]

A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution models without the need for retraining.A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution models without the need for retraining.[#item_full_content]

In our hyper-connected world, we rely on encrypted communications every day—to shop online, digitally sign documents, make bank transactions, check our steps on fitness trackers.In our hyper-connected world, we rely on encrypted communications every day—to shop online, digitally sign documents, make bank transactions, check our steps on fitness trackers.[#item_full_content]

Even with all its training and computer power, an artificial intelligence (AI) tool like ChatGPT can’t represent the concept of a flower the way a human does, according to a new study.Even with all its training and computer power, an artificial intelligence (AI) tool like ChatGPT can’t represent the concept of a flower the way a human does, according to a new study.[#item_full_content]

In an increasingly digitized and connected environment, the demand for computer programmers continues to grow and so does the need for training to produce new coding specialists. Often, they are professionals from other sectors who want to switch career paths. In these cases, the acquisition of computational thinking and programming skills is of key importance for them to succeed in this process.In an increasingly digitized and connected environment, the demand for computer programmers continues to grow and so does the need for training to produce new coding specialists. Often, they are professionals from other sectors who want to switch career paths. In these cases, the acquisition of computational thinking and programming skills is of key importance for them to succeed in this process.[#item_full_content]

When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a circuit might help make sense of how the system works.When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a circuit might help make sense of how the system works.[#item_full_content]

Imagine asking a conversational bot like Claude or ChatGPT a legal question in Greek about local traffic regulations. Within seconds, it replies in fluent Greek with an answer based on UK law. The model understood the language, but not the jurisdiction. This kind of failure illustrates the inability of large language models (LLMs) to understand regional, cultural and, in this case, legal knowledge, while at the same time being proficient in many of the world’s languages.Imagine asking a conversational bot like Claude or ChatGPT a legal question in Greek about local traffic regulations. Within seconds, it replies in fluent Greek with an answer based on UK law. The model understood the language, but not the jurisdiction. This kind of failure illustrates the inability of large language models (LLMs) to understand regional, cultural and, in this case, legal knowledge, while at the same time being proficient in many of the world’s languages.[#item_full_content]

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