Browsing: Machine

EDITOR’S NOTE: This is the preface to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. The paperback edition of this book will drop on October 27, 2026, along with a new, second preface, “Predictive AI Thrives, Despite Generative AI Stealing the Spotlight.”

A Minnesota inventor has built a weed-killing machine that uses artificial intelligence, robotics, and steam — no chemicals required.

Apple (NASDAQ: AAPL) stock is in focus as the market expects the company to launch its first foldable iPhone model on September 9.

The unprecedented convergence of AI and Machine Learning in Biology with the life sciences, often described as AI in biology, represents a milestone in scientific progress. AI/ML, once the exclusive tools of computer scientists, is now being incorporated into several scientific disciplines, with biology at the forefront. At the vanguard of a new era of…

A researcher at Turkey’s Selçuk University has conducted a comparative analysis of multiple machine learning algorithms for predicting plane-of-array (PoA) irradiance on bifacial PV panels. The researcher used identical input conditions to predict PoA irradiance on both the front and rear sides of the panels.

Machine learning doesn’t replace human intelligence, but it can outlast human endurance, which makes it a very helpful tool for chemistry and material discovery. Scientists know the machine learning models can make predictions based on the vast reams of data it is trained on, but can it take it a step further and massively scale…

Could AI hold the key to answering questions that have stumped doctors and scientists for decades? A recent study at Cold Spring Harbor Laboratory (NY, USA) borrows concepts from machine learning to address an age-old riddle of immunology.

26 Aug, 2026 by Staff Reporter 3 min read Share on FacebookShare on LinkedInShare on Twitter / XShare

Drinking water disinfection effectively prevents waterborne disease outbreaks but inevitably results in the formation of carcinogenic disinfection by-products (DBPs). Mitigating DBP formation without compromising microbial safety remains a critical challenge. Here we developed DISoptimizer, a water-quality-adaptive optimization framework designed to determine the optimal chlorine dose across heterogeneous water matrices, thereby maintaining a user-defined residual chlorine…

Colorectal cancer remains a major cause of cancer-related mortality worldwide, motivating the development of accurate prognostic models. Despite advances in machine learning for survival prediction, a common practice in the literature reformulates time-to-event outcomes as binary variables and applies standard classification algorithms, disregarding censoring and the temporal nature of survival data. In this study, we…