Powered by Google's Genie 3 model, the World Model AI tool is designed to help train AI agents in 3D scenarios, but it could ...

Founded by Noam Salinger and Boaz Touitou, two engineers with deep experience in systems optimization, Impala’s mission is ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically ...

Codon optimization is a central strategy in recombinant protein production, enabling genes from one organism to be efficiently expressed in another. Conventional methods typically replace ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

DeepSeek debuted Manifold-Constrained Hyper-Connections, or mHCs. They offer a way to scale LLMs without incurring huge costs. The company postponed the release of its R2 model in mid-2025. Just ...

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...

Utkarsh Amitabh says he definitely wasn't in the market for a new job in January 2025, when data labeling startup micro1 approached him about joining its network of human experts who help companies ...