Global Information Decision
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization
arXiv:2605.26660v2 Announce Type: replace Abstract: Quantization is an effective approach to reduce the memory footprint and inference cost of large language models (LLMs), yet maintaining performance in the ultra-low-bit regime remains challenging. Existing post-training methods often suffer from severe accuracy degradation, while quantization-aware training requires costly retraining and additional resources.
Data gaps of international databases on HPAI H5 in wildlife in the Americas: implications for surveillance, research, and conservation
Global efforts to prevent and mitigate the impacts of high pathogenicity avian influenza (HPAI) H5 on domestic animals, humans, and wildlife rely on timely and transparent information that is both accurate and interpretable across countries and sectors. International epidemiological and genomic databases, such as the World Animal Health Information System (WAHIS), the Global Animal Disease Information System (EMPRES-i+), the Global Initiative on Sharing All Influenza Data (GISAID), and the...
Universal Decision Learners
Announce Type: new Abstract: Many theories of decision making -- planning, reinforcement learning, causal intervention, online learning, and game-theoretic equilibrium -- turn local information into globally coherent behavior. This paper proposes a common categorical formulation: a Universal Decision Learner (UDL) extends a partially specified decision functor from observed contexts to new contexts by a pair of universal constructions. Left Kan extensions express rollout, aggregation, and...
Managing hydrogen emissions is key to maximizing climate benefits as hydrogen use expands, say researchers
Managing hydrogen emissions is key to maximizing climate benefits as hydrogen use expands, say researchers Lisa Lock Scientific Editor Robert Egan Associate Editor Current estimates of hydrogen's climate impact are now sufficiently robust to inform policy and business decision-making, according to researchers in a new review article on the climate impacts of hydrogen emissions. Hydrogen is expected to be an important component of future low-carbon energy and industrial systems, particularly...
AI in nature conservation: Powerful tool or dangerous shortcut?
AI in nature conservation: Powerful tool or dangerous shortcut? Lisa Lock Scientific Editor Andrew Zinin Lead Editor Conservationists analyze overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects.
A distributed routing protocol for sending data from things to the cloud leveraging fog technology in the large-scale IoT ecosystem
Announce Type: replace Abstract: Fog computing integrates cloud and edge resources. According to an intelligent and decentralized method, this technology processes data generated by IoT sensors to seamlessly integrate physical and cyber environments. Internet of Things uses wireless and smart objects.
eAID: Elastic Asynchronous Information Dispersal with Post-Dissemination Pruning
arXiv:2603.24761v2 Announce Type: replace Abstract: Spreading and storing erasure-coded data effectively in distributed systems is challenging in practical settings. The dissemination of erasure-coded information is typically designed to complete only after receiving messages from $(N-F)$ nodes, thereby preparing for the worst-case, but rare, scenario of $F$ failures. In steady state, the remaining $F$ nodes may in fact be healthy, but their resources are not counted.
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.
Building user-driven climate adaptation products
Abstract Climate adaptation products have traditionally been developed using a supply-driven model reliant on available climate information, leading to usability gaps1,2,3,4. To better meet user needs, the climate services field has recognized a need to shift towards a demand-driven model emphasizing co-production, that is, user-driven, scientifically informed products created through shared knowledge practices1,2,3,4,5. However, co-production can be challenging, especially for researchers...