AI tagged posts

Researchers use Artificial Intelligence to Predict Cardiovascular Disease

Researchers use artificial intelligence to predict cardiovascular disease
Study design, workflow, and bioinformatics. Overall research methodology includes, (1) clinical data analysis; (2) cohort building; (3) cardiovascular disease-based sample collection; (4) sample management and tracking; (5) RNA extraction, and high-throughput sequencing; (6) pipeline and bioinformatics application development for RNA-seq data processing, quality checking, gene-disease annotation, and phenotyping; and (7) implementation of artificial intelligence and machine learning techniques for predictive analysis. Credit: Genomics (2023). DOI: 10.1016/j.ygeno.2023.110584

Researchers may be able to predict cardiovascular disease — such as arterial fibrillation and heart failure — in patients by using artificial intelligence (AI) to examine the genes in their DNA, according to a new ...

Read More

Researchers focus AI on Finding Exoplanets

Three young planets in orbit around an infant star known as HD 163296 (Photo credit: NRAO/AUI/NSF; S. Dagnello)

New research from the University of Georgia reveals that artificial intelligence can be used to find planets outside of our solar system. The recent study demonstrated that machine learning can be used to find exoplanets, information that could reshape how scientists detect and identify new planets very far from Earth.

“One of the novel things about this is analyzing environments where planets are still forming,” said Jason Terry, doctoral student in the UGA Franklin College of Arts and Sciences department of physics and astronomy and lead author on the study...

Read More

Nanoscale Ferroelectric Semiconductor could Power AI and Post-Moore’s Law Computing on a Phone

Nanoscale ferroelectric semiconductor could power AI and post-Moore's Law computing on a phone
a) Cross-sectional HAADF-STEM image of the 5 nm thick ScAlN grown on Mo template. (b) and (c) Nano-beam electron diffraction patterns captured from the Mo (b) and ScAlN (c) regions labeled in (a). (d) Magnified HAADF-STEM image showing the thickness of the ScAlN layer. (e) Schematic of the epitaxial relationship between wz-ScAlN and bcc-Mo. (f) EDS element maps for the ITO/ScAlN/Mo capacitor. Credit: Applied Physics Letters (2023). DOI: 10.1063/5.0136265

Ferroelectric semiconductors are contenders for bridging mainstream computing with next generation architectures, and now a team at the University of Michigan has made them just five nanometers thick—a span of just 50 or so atoms.

This paves the way for integrating ferroelectric technologies with conventional components used in ...

Read More

Spray-on Smart Skin uses AI to Rapidly Understand Hand Tasks

Spray-on smart skin uses AI to rapidly understand hand tasks
Spray-on sensory system which consists of printed, bio-compatible nanomesh directly connected with wireless Bluetooth module and further trained through meta-learning. Credit: Kyun Kyu “Richard” Kim, Bao Group, Stanford U.

A new smart skin developed at Stanford University might foretell a day when people type on invisible keyboards, identify objects by touch alone, or allow users to communicate by hand gestures with apps in immersive environments.

In a just-publish paper in the journal Nature Electronics the researchers describe a new type of stretchable biocompatible material that gets sprayed on the back of the hand, like suntan spray...

Read More