Google Search and Generative AI: A Historic Turning Point With more than 8.5 billion searches per day, Google Search remains the primary gateway to online information for the majority of internet users in the…
When Artificial Intelligence Shapes the Future of the Justice System: Toward a More Analytical Role for Judges
Long sheltered from technological upheavals, the justice system now finds itself at a turning point. Overwhelmed by caseloads and facing increasing pressure to meet processing deadlines, courts must navigate an increasingly complex, ever-changing, and interconnected legal landscape. In the face of these challenges, artificial intelligence is making its way into courtrooms—not to replace judges, but to augment their human capabilities.
Meta and Midjourney: A Strategic Partnership to Revolutionize AI-Powered Images and Video
In this context, the partnership announced in the summer of 2025 between Meta (the parent company of Instagram, Facebook, WhatsApp, and Threads) and Midjourney marks a strategic turning point. It is no longer simply a matter of generating individual images, but of building a comprehensive multimodal infrastructure capable of transforming a text query into an image, video, or animation for billions of users.
Perplexity AI offers a revenue-sharing model with media outlets: toward a new model of collaboration
The rise of generative artificial intelligence has profoundly transformed the way information is produced, disseminated, and accessed. Tools such as ChatGPT, Gemini, and Perplexity allow users to obtain synthetic responses to complex queries, often drawing on journalistic or encyclopedic content.
MLE-STAR: Google’s approach to effectively structuring machine learning engineering
Drawing on its extensive experience in deploying AI at scale, Google offers a methodological approach to this challenge through the MLE-STAR framework. Designed as a synthesis of best practices in software engineering tailored to machine learning, this framework aims to structure AI projects in a more reliable, modular, and sustainable way.
Qwen3: Alibaba’s model that challenges OpenAI and DeepSeek in mathematics and coding
While large language models are dominated by the United States, China is gradually strengthening its position in the field of advanced artificial intelligence. With Qwen3, Alibaba aims to offer a competitive model in the strategic areas of mathematical reasoning and code generation.
ChatGPT Agent: OpenAI Introduces an AI Capable of Planning, Executing… and Learning
Since the emergence of large language models, conversational artificial intelligence has made rapid strides in understanding, content generation, and interactivity. But until now, assistants like ChatGPT, Claude, and Gemini have been limited to the role of a conversational partner, unable to take direct action within a digital environment.
AI-based age verification in tobacco shops: The CNIL strongly opposes it
In recent years, artificial intelligence systems capable of estimating a person’s age based on their face have become increasingly common in retail settings. Using so-called “smart” cameras, these devices analyze facial features in real time to estimate an age range, without necessarily identifying the individual.
AI and Speech: Voxtral, Mistral’s Open-Source Response to Large Language Models
Artificial intelligence is no longer limited to vision or text. In recent years, speech has become a strategic area of research, where technical, commercial, and political issues intersect. While automatic transcription has made significant strides, the ability of machines to truly understand spoken language remains a more complex and multifaceted challenge.
Ocean AI: How Artificial Intelligence Is Helping to Protect Whales in Polynesia
Protecting marine biodiversity is now a global challenge, one that is particularly acute in the oceans’ fragile ecosystems. In French Polynesia, humpback whales, iconic migratory species, face growing pressures: maritime traffic, noise pollution, warming waters, and disruption of their breeding grounds. In light of these challenges, Artificial Intelligence (AI) is emerging as a strategic tool for cetacean conservation.
