More information Franklin C. Ogidi et al, Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping, Plant Phenomics (2023). DOI: 10.34133/plantphenomics.0037 ...

In a study published in Nature Methods, a research team led by Prof. Qu Kun from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has benchmarked 16 spatial ...

Auditing AI benchmark contamination prevents inflated performance claims. Removing public test data drops Qwen 2.5 scores to ...

Researchers have developed a new protocol for benchmarking quantum gates, a critical step toward realizing the full potential of quantum computing and potentially accelerating progress toward ...

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...

Prepare For What's Real - Following compliance standards, maintaining best practices, and conducting regular tests are important aspects of cyber hygiene, but a checklist approach can't account for ...

As agents using artificial intelligence have wormed their way into the mainstream for everything from customer service to fixing software code, it’s increasingly important to determine which are the ...

In crop-breeding, plant phenotyping is the detailed study of a plant’s characteristic ‘visible’ or phenotypic features. It includes counting the number of plants generated by a crossing experiment and ...

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing. Researchers have ...