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 ...

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 ...

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.

UK-based education giant Pearson has confirmed a significant cyberattack that exposed sensitive customer data, internal corporate information, and cloud infrastructure, BleepingComputer reported ...

Pearson on track to deliver 2025 guidance1 with expected Q1 result and momentum building for the second half LONDON, May 2, 2025 /PRNewswire/ -- ...

Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...