InfoQ

Challenges and Solutions for Building Machine Learning Systems

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

The Learning System: How Agentic AI Can Compound Its Own Advantage

Most AI transformations aim to generate value, not to learn. The most durable advantage comes from designing learning into ...

Every Organization Should Consider Becoming A Learning System

To thrive in the age of AI, organizations need to make learning a core capability, enabling people, and technologies to ...
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 ...
Purdue University

AI and Machine Learning

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Semiconductor Engineering

Ultimate Guide To Machine Learning For Embedded Systems

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...
Nature

A deep learning model with machine vision system for recognizing type of the food during the food consumption

The food industry prioritizes quality control and product knowledge, emphasizing factors like quantity, freshness, and color. This research addresses Sustainable Development Goals (SDGs) focused on ...

Reinforcement learning improves execution quality in financial markets

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
Case Western Reserve University

Artificial Intelligence, Machine Learning and Robotics

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...