Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...

Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...

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

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during training to predict the next word in a sequence. That model, GPT-3, ...

Public opinion shifts rapidly and benchmarks are not reliable.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A model called GLM-5.2, launched last month by Beijing-based startup Z.ai, may finally be closing that gap in terms of ...

Model collapse AI training data risk grows as Meta’s Brand Memory ad tools flood the open web with synthetic content, ...

This is precisely why elastic stack consulting for security platforms has become one of the most requested capabilities in ...

ANALYSIS-A new, inexpensive Chinese AI model is catching up with Anthropic, OpenAI on their home turf ...