Background: Large language models (LLMs) show promise for clinical decision support but often deviate from evidence-based protocols, raising safety and regulatory concerns. Anemia management in ...

Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China ...

Universal is taking a big step toward changing how guests experience its most popular attractions. For decades, Universal Express Pass has been a familiar system—pay once, skip the line on multiple ...

The new Tesla Model Y Standard and Model 3 Standard are $5,000 and $5,500 more affordable than the rest of the lineup, respectively. Tesla cut a laundry list of features from the cars to make them ...

• Add experimental toggles (UI switches and #experimental=1 hash param) to enable: • Concept graph view: parse snapshot’s node/edge summary; deterministic layout (e.g., circular / grid or dagre) — no ...

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Bremen heads to Model for a nonconference league meeting that pits two Blue Devils programs with local pride on the line. The teams last met on Sept. 20, 2024, when Bremen posted a 31-0 win (linescore ...

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...