The Arctic Ocean is increasingly stressed by anthropogenic pollution and rapid environmental change. River discharge plays a crucial role in this transition by delivering freshwater, nutrients, carbon...
Despite the success of reinforcement learning from human feedback (RLHF) in aligning language models, current reward modeling heavily relies on experimental feedback data collected from human annotato...
We present the first portfolio-level validation of MarketSenseAI, a deployed multi-agent LLM equity system. All signals are generated live at each observation date, eliminating look-ahead bias. The sy...
While Mixture-of-Experts (MoE) scales model capacity without proportionally increasing computation, its massive total parameter footprint creates significant storage and memory-access bottlenecks, whi...
Although sea-ice ridges are prominent features of the Arctic Ocean, very little is known about their role as habitats and in biogeochemical cycles. Here, we show that ridges provide complex sea-ice ha...
Fish is widely recognized as a valuable source of high-quality proteins, omega-3 fatty acids, and essential micronutrients. However, these nutritional benefits are increasingly compromised by marine p...
Oil pollution is one of the most persistent and harmful anthropogenic pressures on global marine and coastal ecosystems. Accidental discharges, chronic leaks, operational spills from shipping, offshor...
Distribution utilities are now expected to deliver bills that customers can actually read attach a defensible carbon number to every kWh sold and schedule load against grid stress and emissions constr...
Microplastics (MPs) originating from synthetic polymers can act as vectors for harmful microorganisms and pollutants, exacerbating ecological risks. Vibrio harveyi, commonly found in seawater, is a ma...
The mesopelagic zone, between 100 and 1000 m depth, contains up to 90% of marine vertebrate biomass. Mesopelagic fishes are key components of these ecosystems through their feeding interactions and pl...
The shipping industry faces urgent pressure to decarbonize in response to tightening regulations and growing concerns over marine pollution. Computational Fluid Dynamics (CFD) has emerged as a pivotal...
Marine algae-derived neurotoxins, commonly associated with harmful algal blooms (HABs), represent a paradox in marine and biomedical sciences. While traditionally studied for their ecological disrupti...
We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical an...
Pretrained diffusion models serve as frozen teachers feeding downstream pipelines such as text-to-3D, single-step distillation, and data attribution. The teacher gradients these pipelines consume are ...
Global climate change is profoundly altering Arctic marine biodiversity, yet baseline data on fish assemblages in the central Arctic Ocean remain critically scarce. The Chukchi Borderland-a Pacific-At...
Carbon in the asthenosphere is unevenly distributed, reflecting interactions between the depleted mantle and materials added by plumes or subducting slabs. Nevertheless, mid-ocean ridge basalts (MORB)...
We investigate the optimal execution of contracts that are used in merger\&acquisition deals. We consider cash-settled and physically delivered contracts between a broker and a counterpart. Contracts ...
Molluscs, especially octopus, is a nutritious seafood, containing high levels of proteins, omega-3 fatty acids, and essential minerals. However, marine pollution with heavy metals such as mercury (Hg)...
Mixture-of-Experts (MoE) has become the de facto architecture for hundred-billion-parameter language models, yet its advantages at sub-billion scales for on-device deployment remain largely unexplored...
A common experimental research design is one in which individuals are randomly allocated into groups that then interact under different group-level treatment conditions. We develop design-based infere...
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