Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

The centralized mega-cluster narrative is seductive – but physics, community resistance, and enterprise pragmatism are conspiring to scatter AI compute across a distributed lattice of specialized ...

Nvidia is aiming to dramatically accelerate and optimize the deployment of generative AI large language models (LLMs) with a new approach to delivering models for rapid inference. At Nvidia GTC today, ...

ByteDance’s Doubao Large Model team yesterday introduced UltraMem, a new architecture designed to address the high memory access issues found during inference in Mixture of Experts (MoE) models.

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...

AI inference infrastructure investment pulled $1.8 billion in 48 hours as Baseten’s $1.5B round at a $13B valuation and ...