Robot swarm AI: study exposes hidden geometry in collective behaviour
A new tool shows robot swarms implicitly learn environmental geometry from simple rewards, raising questions about control of emergent collective
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A new tool shows robot swarms implicitly learn environmental geometry from simple rewards, raising questions about control of emergent collective
A non-peer-reviewed arXiv preprint proposes everyday AI agent prompting loops quietly strengthen impatience and self-criticism through neuroplasticity.
An arXiv preprint shows spectral scores stay frozen while retrieval value collapses from +33% to -35%, challenging how teams decide on context.
First meta-evaluation of LLM-generated rubrics for paper reproduction finds AI graders are overly generous and too detailed, but augmentation helps.
EnCF, a new ensemble controlled-flow filter on arXiv, targets non-Gaussian and multimodal data assimilation where Kalman-type filters fall short.
OpenAI's automated red teaming system GPT-Red uses self-play to find model weaknesses like prompt injection gaps affecting every AI user.
OpenAI's July 15 proposal wants state AI laws to build toward a national safety framework, shaping how every American AI developer gets regulated.
When AI models grade other AI models without an answer key, they hand out passing marks too freely, new research from Potsdam and Ottawa finds.
A 26-billion-parameter diffusion model transcribes speech in eight parallel steps, training just 42 million parameters for 6.6% word error rate on
A new arXiv preprint recasts fall detection as a stability-loss physics problem using liquid time-constant networks for low-power edge devices.
Bulkhead, a new arXiv preprint, uses multi-agent LLMs to automatically find and fix path traversal vulnerabilities in containers running AI workloads.
A new arXiv study finds LLM-suggested password replacements are more secure than human-created ones and equally memorable after one week.