DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are ...

Last month, AI founders and investors told TechCrunch that we’re now in the “second era of scaling laws,” noting how established methods of improving AI models were showing diminishing returns. One ...

Quantum calculations of molecular systems often require extraordinary amounts of computing power; these calculations are typically performed on the world’s largest supercomputers to better understand ...

An Epoch AI article identifies four primary barriers to scaling AI training: power, chip manufacturing, data, and latency. Below, we summarize the known research, innovations, and approaches that ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability*, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

Scaling laws and similitude methods constitute a fundamental framework in structural dynamics, enabling the accurate prediction of full-scale behaviour from reduced-scale models. By establishing ...