Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Faster quantum computers can learn from their own mistakes

Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of ...
IEEE

Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model

Abstract: The increasing complexity of supply chain finance poses significant challenges to effective credit risk assessment. Traditional black-box models often fail to provide insights into the ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Tech Xplore on MSN

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...

Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...

Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...