Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Multi-Classification Machine Learning Algorithm for Predicting Pavement Maintenance Treatments

Abstract: Managing pavement assets poses a challenge for many highways worldwide, primarily attributed to funding restrictions and the absence of organized arrangement tools for maintenance and ...
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
IEEE

An Unbounded Multi-input Quadratic Functional Encryption Scheme for Secure Cloud-based Machine Learning

Abstract: With the advent of cloud computing, traditional machine learning (ML) are migrating into cloud-based ML day by day following the concept of machine learning as a cloud service, which enables ...
MD&M East

HeartBeam’s Algorithm Synthesizes a 12-Lead ECG Output in a Credit-Card-Sized Device

Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
PBS

Episode 2: Understanding Input and Output

Techne, Tomas, and Anya learn how computers “talk” with us through input and output. Techne, Tomas, and Anya learn how computers “talk” with us through input and output. Related resources for teachers ...
Science Daily

Machine learning algorithm brings long-read sequencing to the clinic

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
TechCrunch

Laser-powered fusion experiment more than doubles its power output

The world’s only net-positive fusion experiment has been steadily ramping up the amount of power it produces, TechCrunch has learned. In recent attempts, the team at the U.S. Department of Energy’s ...
Frontiers

Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea

The Yellow River is the largest inflow into the Bohai Sea, and its inflow changes directly affect the ecological environment and marine health of the Bohai Sea. Therefore, accurate prediction of the ...
Frontiers

The application of machine learning in clinical microbiology and infectious diseases

With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...