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Towards Label-Noise Resistant Learning via Optimal Brain Damage Masking
arXiv:2508.09697v3 Announce Type: replace Abstract: Noisy labels are inevitable in real-world scenarios. Due to the strong capacity of deep neural networks to memorize corrupted labels, these noisy labels cause significant performance degradation. Existing noise-robust methods have mainly focused on robust loss functions and sample selection, with comparatively limited exploration of dynamic architectural adaptation.
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
Announce Type: replace Abstract: Large language models (LLMs) with extended context windows enable powerful applications but impose significant memory overhead, as caching all key-value (KV) states scales linearly with sequence length and batch size. Existing cache eviction methods address this by exploiting attention sparsity, yet they typically rank tokens heuristically using accumulated attention weights without considering their true impact on attention outputs. We propose Optimal Brain...
Human-Like Neural Nets by Catapulting
Human-like Neural Nets by Catapulting Speculative proposal to create artificial neural nets with human-like performance by high-learning-rate/regularization training of overparameterized NNs to trigger catapulting/grokking. Over-parameterization as a route to true generalization would resolve many outstanding mysteries of artificial versus natural intelligence. There are many mysteries about deep learning and human intelligence, but we could describe the biggest anomaly this way: why are...
This common amino acid helped mice survive deadly inflammation
This common amino acid helped mice survive deadly inflammation A simple amino acid helped infected mice survive by turning the kidneys into powerful defenders against deadly inflammation. - Date: - June 1, 2026 - Source: - Salk Institute - Summary: - A Salk Institute study found that a simple dietary amino acid, methionine, dramatically improved survival in mice facing severe infections and inflammatory conditions.
Lower cancer and heart disease risk with two tablespoons of one daily food
Lower cancer and heart disease risk with two tablespoons of one daily food A scientist and professor says eating just one to two tablespoons of this item a day – an inexpensive food you likely already have at home – may help lower your risk of cancer, type 2 diabetes and heart disease A scientist and professor claims that consuming a couple of spoonfuls of a common, budget-friendly food that's likely already sitting in your kitchen cupboard can reduce your chances of developing several...
Combinatorial screening of nanoparticles for nose-to-brain RNA delivery to modulate neuroinflammation after traumatic brain injury
Traumatic brain injury (TBI)-induced neuroinflammation can evolve over weeks or months,contributing to ongoing secondary damage and worsening neurological recovery. RNA-based therapeutics hold great potential to regulate inflammatory signaling, but delivery to the brain remains challenging because of the blood brain barrier. Intranasal administration offers a direct non-invasive route for brain access but is often limited by low delivery efficiency.
The future of agriculture
The future of agriculture Lisa Lock Scientific Editor Andrew Zinin Lead Editor It's a mild early spring morning at the historic Cottonwood Field Station in western South Dakota, and a herd of 150 Angus steers are scheduled to move to a new pasture rotation. Moving cattle can be tricky and often requires some extra help, electrical fencing and quite a bit of time. But today, there are no extra ranchers, no gates swinging open and no temporary fences in place.
Event-driven dynamic trajectories reconstruction and measurement of mechanical parameters for fragments
arXiv:2606.09208v1 Announce Type: new Abstract: During warhead detonation, high-density, high-speed, and mutually occluded fragments are generated. Their mechanical parameters (position, velocity, kinetic energy) directly determine the lethality of the warhead fragment field.
The Frame Problem
The Frame Problem To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects. But to many philosophers, the AI researchers' frame problem is suggestive of wider epistemological issues. Is it possible, in principle, to limit the scope of the reasoning required to derive the consequences of an action?