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

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 ...

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 ...

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.

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

A feature often topping user request surveys, and recently rolled out by both Intel and Nvidia, integer scaling is an alternative scaling method that retains the crisp detail required by pixel art to ...

GPU Scaling is a built-in feature of modern graphics cards that lets you tweak the aspect ratio of a game according to the resolution of your monitor. Let’s understand it with an example. The older ...

As the CEO of a software technology company, I want to emphasize the ongoing nature of achieving product-market fit (PMF), which plays a significant role in guiding our product's journey through its ...