Artificial intelligence is helping archaeologists uncover stories of the past in ways that would have been impossible only a few years ago. A recent example shows this transformation in action. Researchers used an AI model to examine satellite images and successfully identified 303 new geoglyphs in the coastal desert of
Artificial intelligence is poised to redefine humanity’s journey into space. From mapping distant moons to coordinating fleets of autonomous spacecraft, AI will become the navigator, analyst, and pilot of our next great voyage beyond Earth. One major shift will come in mission autonomy. As communication delays stretch to minutes
In the most significant hardware partnership of the year, OpenAI has signed a deal with AMD to secure up to **6 gigawatts of GPU capacity** for its expanding AI operations. The agreement, announced this week, is more than a procurement contract — it is a declaration that compute has become the
Music has always reflected human emotion and creativity. Yet the tools of composition are changing, and artificial intelligence is becoming one of the most powerful collaborators in modern sound. Instead of replacing artists, AI is reshaping how melodies are imagined, produced, and shared, bringing experimentation and accessibility to a level
Artificial intelligence has moved from research labs into daily life so seamlessly that many people use it without realizing. What once felt futuristic is now woven into the fabric of ordinary routines. The most visible examples are digital assistants, recommendation engines, and language tools, but the reach of AI extends
Modern cryptography relies on mathematical problems that are hard for classical computers to solve. But the rise of quantum computing threatens to break many of these assumptions. Quantum communication, however, flips the challenge on its head by using quantum mechanics not just to attack encryption but to secure it at
High-performing AI models depend on vast amounts of data, yet access to clean, diverse, and representative datasets is one of the biggest barriers to progress. Privacy concerns, regulatory restrictions, and scarcity of labeled examples make it difficult to train models robustly. Synthetic data has emerged as a solution, offering a
Machine learning operations, or MLOps, emerged to bring structure to deploying and maintaining models. But the rise of large language models has stretched these practices to the breaking point. The challenges of building, fine-tuning, and serving LLMs have given rise to a new discipline often called LLMOps. At training time,
When the Transformer architecture was introduced in 2017, it changed the trajectory of AI research. Instead of relying on recurrence or convolution, Transformers used self-attention to let every token in a sequence interact with every other token. This parallelizable design allowed models to capture both local and global context efficiently,
Artificial intelligence is not just about algorithms and models, it is also about infrastructure. Training large-scale AI systems has become one of the most energy-intensive activities in modern computing. Estimates suggest that training a single cutting-edge model can consume megawatt-hours of electricity, comparable to the lifetime energy use of dozens
Generative adversarial networks once dominated the conversation about synthetic images, but a new family of models has taken center stage. Diffusion models, originally inspired by statistical physics, are now powering some of the most advanced systems in text-to-image generation. Their strength lies in stability, scalability, and the quality of the
