New process could speed the discovery of other much-needed antibiotics. Scientists at McMaster University and…
Browsing: Machine Learning
Machine learning is a branch of artificial intelligence that enables computers to learn from data and improve their performance over time without being explicitly programmed. It powers a wide range of modern technologies, from recommendation systems and voice recognition to medical diagnostics and autonomous vehicles. Researchers use algorithms that can detect patterns, make predictions, and adapt to new information, with applications spanning science, industry, and everyday life. In scientific research, machine learning is revolutionizing data analysis, accelerating discoveries, and opening new frontiers in fields like genomics, climate modeling, and particle physics. Explore this page for the latest breakthroughs, applications, and innovations in machine learning.
Mount Sinai’s AI model, HeartBEiT, improves the accuracy and detail of ECG diagnoses, even for…
The device would be a key component of a portable mass spectrometer that could help…
Selecting the right method gives users a more accurate picture of how their model is…
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and…
The system they developed eliminates a source of bias in simulations, leading to improved algorithms…
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in…
A new method could provide detailed information about internal structures, voids, and cracks, based solely…
The utilization of machine learning techniques unveils valuable insights into a broad category of materials…
A new computer vision system turns any shiny object into a camera of sorts, enabling…
NIH-funded study shows preliminary results that could lead to new pain treatments. In a pioneering…
Scientists have developed a machine-learning algorithm that predicts electron energy levels in organic molecules. This…
A new machine-learning model makes more accurate predictions about ocean currents, which could help with…
EPFL researchers have created novel protein binders that can seamlessly attach to important targets, including…
Researchers have developed an intracellular toolkit to study organelle communication and diversity within stem cells,…
Researchers identify a property that helps computer vision models learn to represent the visual world…
An open-source tool developed by MIT’s Senseable City Lab allows individuals to easily and affordably…
The algorithm combines classical beam physics equations with machine-learning techniques to reduce the need for…