Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Abstract: Knowledge of the electrical discharge characteristics under various voltage conditions is crucial to designing safer and more efficient high-voltage insulation systems. This study presents ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Artificial intelligence clinical documentation startup Abridge developed a medical record template specifically for pediatric providers with a focus on primary care well visits. During well baby and ...

Have you ever left a lecture or finished reading a chapter with pages of neatly written notes, only to realize later that you barely remember the material? For decades, note-taking has been hailed as ...

Teachable Machine is an active way to help students learn about AI creatively. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Teachable Machine ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...