optimizing
MuZero, AlphaZero, and AlphaDev: Optimizing computer systems
As part of our aim to build increasingly capable and general artificial intelligence (AI) systems, we’re working to create AI tools with a broader understanding of the world. This can allow useful knowledge to be transferred between many different types of tasks. Using reinforcement learning, our AI systems AlphaZero and MuZero have achieved superhuman performance…
The TAO of data: How Databricks is optimizing AI LLM fine-tuning without data labels
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI models perform only as well as the data used to train or fine-tune them. Labeled data has been a foundational element of machine learning (ML) and generative AI for much of their history. Labeled data…
Optimizing motor control for energy efficiency
In today’s world, motors are ubiquitous, powering everything from household appliances to industrial machinery. The importance of optimizing motor control for energy efficiency cannot be overstated, given that motors account for a significant portion of global energy consumption. This article delves into the structure of motors, the use of variable frequency drives (VFDs), and the…
DRAM basics and its quest for thermal stability by optimizing peripheral transistors
For decades, compute architectures have relied on dynamic random-access memory (DRAM) as their main memory, providing temporary storage from which processing units retrieve data and program code. The high-speed operation, large integration density, cost-effectiveness, and excellent reliability have contributed to the widespread adoption of DRAM technology in many electronic devices. DRAM bit cell—the element that…