Nature

Physics-driven learning for inverse problems in quantum chromodynamics

The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.

Inside the Effort to Turn Bank Dispute Resolution Into an AI Problem

Explore how AWS Senior Solutions Architect Adarsh Naidu utilizes machine learning and cloud architecture to modernize dispute ...
Trains on MSN

Startup's drones use high-tech to find coupler problems in yards

HOUSTON — Tech startup Unspace was founded in 2020. Since 2022, it has been advancing machine learning in the field of machine vision to improve rail safety and operational efficiency, a journey that ...
Nature

Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments

Machine learning has greatly shaped the landscape of computational biology, with the integration of high-throughput data acquisition and burgeoning computational power leading to the creation of ...
News Medical

Guidelines for using interpretable machine learning methods in computational biology

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
Forbes

Quantum Mechanics And Machine Learning: How To Solve Real-World Problems

Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Quantum mechanics, which is the study of the behavior of sub-atomic ...
Science Daily

Researchers outline promises, challenges of understanding AI for biological discovery

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
Business Insider

Artificial intelligence and machine learning are helping companies provide even better service for customers

Real-time responsiveness has become the gold standard for addressing customer challenges, including disruptions to operations and unplanned downtime. Innovative solutions such as the Guided Repair ...
Forbes

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...
Phys.org

Machine learning reveals hidden landscape of robust information storage

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...