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In a world where virtual meetings are part of everyday life, having tools that facilitate the organization and monitoring of these meetings is essential. Artificial intelligence (AI) meeting assistants have become a key solution for increasing productivity, allowing teams to focus on discussions instead of worrying about taking notes or assigning tasks. Below, we’ll explore

Coca-Cola Christmas ads are a classic symbol of the holiday season. From his signature illuminated truck to the endearing Santa Claus sharing a bottle with children, these pieces have captured the holiday spirit for decades. However, this year the company decided to innovate by using artificial intelligence to create its Christmas commercials. Although the proposal

Asimov proposed ethical rules for machines, but in the real world, the interaction between regulations and algorithms is much more complex. Determining the legal responsibility of an autonomous system is today a legal priority. But today, with advanced chatbots like Gemini or GPT-4, are we safe from AIs? A recent incident with Gemini, Google’s chatbot,

Large language models are great for generating coherent text, but they often have difficulties when it comes to complex reasoning or problem solving. This deficiency is particularly evident in areas that require structured, step-by-step logic, such as mathematical reasoning or code decoding. To address these problems, there is a growing need for models that can

A few days ago, the Gemini platform for creators launched one of the most anticipated features for its AI assistant: memory. This new functionality promises to improve the interaction between users and the system, offering a more personalized and efficient experience. But what does it mean that now Gemini can remember your conversations? And, more

From disease prediction to medical image analysis, AI is proving to be a valuable tool for healthcare professionals. However, although these technologies can offer fast and accurate diagnoses in many cases, there are associated risks that we should not overlook. We have already explored how AI is transforming diagnosis through images, but it is time

Days ago I shared on social networks that insects, instead of becoming extinct, tend to evolve quickly thanks to their vast populations. The idea, although supported by studies, unleashed everything from insults to corrections. The curious thing was not the criticisms themselves, but rather that many argued using artificial intelligence platforms as a source, instead

For years, generative artificial intelligence has been a spectacle of innovation. Models like ChatGPT, capable of writing texts or solving complex problems, marked a before and after in the interaction with technologies. This advancement seemed unstoppable, fueled by a simple formula: train increasingly larger models with more data and more GPUs. However, something has changed.

In the world of artificial intelligence (AI), generative models like ChatGPT, DALL-E or MidJourney are capable of producing amazing responses based solely on the cues we provide them. But what happens when the results are not as expected? This is where Prompt Engineering comes into play, a key discipline to get the most out of

As artificial intelligence evolves, so do the ethical, technical and legal challenges associated with its implementation. The debate in the old continent is served. While some see the rules as an obstacle, experts in law and AI technologies argue that a clear framework is the only way to ensure safe and ethical innovation. Since its