What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

One-line proxy from MyDream Labs helps reduce AI coding costs, wait time, and generated code volume while keeping ...

Elon Musk says Grok 4.5 is testing at Tesla and SpaceX, with Opus-level performance claims and a C/C++ rewrite planned for ...

The team at Hopsworks is excited to announce Hopsworks 5.0, the unified and Sovereign Data and AI platform built around the Coding AI and Data Stack; a new paradigm where coding agents replace ...

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Explore IIDE's AI Courses in Mumbai 2026, including curriculum details, industry-relevant AI tools, certifications, career ...

Engineering teams building agentic coding pipelines now have a concrete open-source alternative to managed models like Claude Fable 5 — one that runs on a single H100. The tradeoff: Cohere's North ...

The persistent memory system addresses a real and widely felt pain point in agentic development workflows — one that competitors are also racing to solve.

If the state wants to increase production to combat its housing crisis, communities need experts to sign off on that work, or ...

CrowdStrike data and OpenAI's admission confirm prompt injection as a dominant enterprise AI attack vector. 65% of ...