By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

AI training uses large datasets to teach algorithms, increasing AI capabilities significantly. Better-trained AI models respond more accurately to complex prompts and professional tests. Evaluating AI ...

The open-source software giant Red Hat Inc. is strengthening the case for its platforms to become the foundation of enterprises’ artificial intelligence systems with a host of new features announced ...

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean ...

In this podcast, we look at storage and artificial intelligence (AI) with Jason Hardy, chief technology officer for AI with Hitachi Vantara. He talks about the performance demands on storage that AI ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Meta has unveiled its second-generation "training and inference accelerator" chip, or "MTIA", nearly a year after the first version, and the company says its new part brings substantial performance ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...