In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Based on the spatial structure correlation in different geophysical parameters, we propose a new 3-D joint inversion method for frequency-domain airborne electromagnetic (AEM) and airborne magnetic ...

Test time reduction(TTR) is one of critical steps for test engineers to reduce the running cost in Semiconductor Probe. The test time is highly influenced by the test program, such as the program ...

Tech companies are looking to natural gas to power their data centers with natural gas. Opponents of Elon Musk's Memphis ...

Google Cloud and Pearson have embarked on a “multi-year strategic collaboration” to “accelerate new AI-powered products and ...

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine learning has modestly improved predictions using brain MRI data, most studies ...

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine learning has modestly improved ...

Smock-it is a CLI plugin for generating synthetic test data in Salesforce, helping SF devs, QAs, and admins create realistic data without using live customer info—boosting efficiency and privacy ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Overcoming test data hurdles with realistic synthetic data Quality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation.