Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

In an era defined by rapid AI adoption, securing software has become increasingly complex. As organizations integrate ...

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Artificial intelligence is poised to transform medical imaging, promising faster diagnoses and greater accuracy.

LLMは「蒸留（distillation；ディスティレーション）」と呼ばれるプロセスをつうじて、ほかのモデルを訓練するためのデータセットを生成できる。このプロセスでは、「生徒」モデルが「教師」モデルの出力を模倣するように学習する。この過程は、LLMの低コスト版を作成する目的で利用されることがあるが、教師モデルのどの特性が生徒モデルに伝達されるかは不明である。