Artificial intelligence

Search engines like Google use crawlers, or bots, that process millions of pages daily to create their indexes and deliver relevant results to users. However, not all bots are as transparent and ethical as search engine bots. In recent years, a new threat has emerged on the digital landscape: AI scrapers. These bots search for

A few months ago, in a strategic move to revitalize its AI division, Amazon moved much of its Alexa team to a new group focused on generative AI. Led by Rohit Prasad, former chief scientist at Alexa, this team was tasked with developing large language models (LLMs) that power a new generation of AI tools

Programming is the backbone of modern software development, although the coding process can be complex and challenging. For this reason, AI-assisted coding tools have emerged as invaluable companions, changing the programming landscape and improving the experience for some developers. In this context, GitHub Copilot promises to speed up the programming process and improve code quality.

From script creation to visual effects production, AI is revolutionizing the way movies and TV shows are made. However, this technological evolution also brings with it controversies and concerns that are at the center of the debate in the entertainment industry. Let’s take a look at some recent movements in Hollywood and how they are

Artificial intelligence has captured the world’s imagination with impressive advances, from the emergence of generative models like ChatGPT to the promise of automating complex tasks in key industries. Recently, a new actor has emerged with force: AI agents. Companies like HubSpot, Salesforce and Microsoft have presented their new solutions based on these intelligent assistants, promising

YouTube announced a series of new features based on generative artificial intelligence that aim to transform the way content creators produce videos, interact with their communities and expand their audiences globally. In an event titled “Made On YouTube”, the platform’s CEO, Neal Mohan, along with other executives, presented these innovations, which seek to enhance users’

Artificial Intelligence (AI) has ceased to be a technological trend and has become a tool of change. From improving operational efficiency to creating new experiences, AI offers numerous possibilities. However, the application of this technology comes with challenges. It’s easy to fall into the temptation of automating everything without understanding the background of what’s happening.

Artificial intelligence (AI) and machine learning (ML) have completely transformed sectors such as technology, healthcare, and finance, among many others. With the increasing adoption of these technologies, organizations are looking for programming languages ​​that facilitate the development of complex applications and algorithms. Among all the options, Python has become the standard for AI and ML

TensorFlow has become an essential tool for data scientists, software engineers, and developers looking to harness the power of machine learning and neural networks. Its flexibility to work on different platforms such as CPUs, GPUs, and TPUs has expanded its adoption in large-scale projects, especially in the analysis of massive data or Big Data. Discover

From personalizing experiences on mobile devices to creating advanced language models, artificial intelligence (AI) is transforming every aspect of modern technology. These models power the most sophisticated chatbots, taking interaction with technology to a new level. However, for AI to be closer to us, it must work on all our devices with reasonable power consumption.