Tech Xplore

Machine learning helps robots see clearly in total darkness using infrared

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

TileDB Announces Integration with Snowflake to Launch TileDB Carrara to Bridge Scientific and Multimodal Data in AI Data Cloud

TileDB today announced the launch of TileDB Carrara, the omnimodal data intelligence platform, as a Snowflake Connected App ...
IEEE

Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip

Abstract: 3-D printing, or additive manufacturing (AM), leverages 3-D computer-aided design models and numerical control to produce objects layer-by-layer, playing a key role in Industry 4.0 and ...
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.
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
techxplore

Quantum machine learning improves semiconductor manufacturing for first time

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...
Forbes

How AI, Data Science, And Machine Learning Are Shaping The Future

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
chromatographyonline

Using Machine Learning During Process Chromatography Operations

Scientists at the Indian Institute of Technology Delhi recently created a new machine learning (ML)-based tool for process verification during process chromatography unit operations. Scientists from ...
Food Processing

Process Control Solutions Innovate through Digitization, AI and Machine Learning

The computer age — and now the digital revolution — has taken human beings to new heights and greater milestones, and food & beverage processing operations have come along for the ride. Digital ...
C&EN

Machine Learning Prediction of Nitric Acid Extraction Behavior in PUREX Process

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. There were a total of 7 articles, with the extracted data ...
Frontiers

Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa

Background: The primary cause of death for children under the age of five is acute respiratory infections (ARI). Early predicting acute respiratory tract infections (ARI) and identifying their ...