LTAD isn’t a buzzword – t’s the foundation for building resilient, high-performing athletes. This evidence-based, long-game approach aligns training with key developmental stages to unlock an ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Alan Russell describes how to employ the concept of "training load" to develop a progressive fitness training program for firefighters.

In a Long-Term Athlete Development (LTAD) model, the application of training stress must follow a precise and appropriate order of operations. In this model, No variable matters more early on than ...

AI model training is changing, and smaller players are finding ways to compete. But open-source AI alone doesn’t fix the bigger problem I see—centralization.

Block3 is redefining game development with AI and blockchain, enabling anyone to create immersive games from text prompts.

Simulated data is significantly easier, cheaper and faster to maneuver and manipulate for AI models and will have a big role in training them in our future. This is the essence of multi-fidelity ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug discovery.

Discover how OpenAI pre-trained GPT-4.5, overcoming scaling challenges and advancing AI with data efficiency and innovative system design.

Cerebras Demonstrates Trillion Parameter Model Training on a Single CS-3 System Training trillion parameter models requires thousands of GPUs and megawatts of power (left).