This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

Mamba 3 is a state space model built for fast inference. Learn what it is, how it works, why it challenges transformers, and ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to ...

With its Series A, Sequen is bringing its proprietary AI ranking and personalization technology to large consumer business.

The generative AI models used in classified environments can answer questions but don't currently learn from the data they ...

The shift to AI-native design drastically expands the enterprise API attack surface. Large Language Models (LLMs) and autonomous agents operate via complex, API-chained workflows. This reality of AI ...

Enterprise AI has moved well past the proof-of-concept stage. 23% of organizations are already scaling agentic AI systems somewhere in their enterprise, and 62% are at least experimenting with AI ...

As models like Gemini and Claude evolve, their simulated personalities can drift in strange directions—raising deeper questions about how AI systems think and decide.

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...