National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Nature

Machine learning-assisted wearable sensing systems for speech recognition and interaction

The human voice stands out for its rich information transmission capabilities. However, voice communication is susceptible to interference from noisy environments and obstacles. Here, we propose a ...

Reinforcement learning improves execution quality in financial markets

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
Forbes

Introduction To Machine Learning For Marketing

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
ascopubs.org

Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...
Nature

Machine learning algorithms for voltage stability assessment in electrical distribution systems

Voltage instability poses a significant challenge by limiting power system operation and transmission capacity. Rapid detection and effective corrective actions are essential to prevent voltage ...
Forbes

How Machine Learning Will Transform Your Industry

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...
Medical Xpress

Data-driven, automated machine-learning system for detecting emerging public health threats

A dire threat to public health can emerge from a huge variety of sources—for example, infectious diseases, a spate of drug overdoses, or exposures to toxic chemicals. Federal, state, and local health ...
InfoQ

How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
InvestorPlace

The MarketMaster AI System: Using Machine Learning to Pick Stocks

In 2008, I accidentally discovered a way to beat the market. By experimenting with the latest regression analysis techniques, I found that investors could pick up several percentage points per trade ...