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 applications in psychology

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...
Forbes

The Future Of Surgery: AI And Machine Learning In Operating Rooms

The uptake of artificial intelligence (AI), computer vision and machine learning has been high in some industries, such as retail (see AiFi and Standard AI) and automotive (see Waymo and Tesla), but ...
National Academies of Sciences%2c Engineering%2c and Medicine

Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop

This activity was supported by Contract 2014-14041100003-019 with the Office of the Director of National Intelligence. Any opinions, findings, conclusions, or recommendations expressed in this ...
CNN

‘Godfather of AI’ shares Nobel Prize in physics for work on machine learning

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is used ...
Forbes

From Raw Data To AI Gold: The Crucial Role Of Data Engineers In Machine Learning

I am a CRM and data engineering leader with 14 years of experience. Head of sales intelligence and data at Snapchat. Data-driven decision-making has seen a skyrocketing demand in today's world of AI ...
The Conversation

What’s that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable

Ambuj Tewari receives funding from NSF and NIH. The microplastics project is funded by the “Meet the Moment” initiative of the University of Michigan's College of Literature, Science, and the Arts.
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
War on the Rocks

Integrating Artificial Intelligence and Machine Learning in the Marine Corps

Every day, thousands of marines perform routine data-collection tasks and make hundreds of data-based decisions. They compile manning data on whiteboards to decide to staff units, screenshot weather ...