AIHardwareTechnology

Apple’s M5 Chip Redefines On-Device AI Capabilities Across Product Lineup

Apple has introduced its next-generation M5 chip, promising substantial performance gains for on-device artificial intelligence processing. The new silicon reportedly offers four times the GPU compute power of previous generations while enabling more responsive AI applications without cloud dependency.

Next-Generation Silicon for AI Acceleration

According to reports from Apple’s official announcement, the company has unveiled its M5 chip, representing what sources indicate is a significant advancement in artificial intelligence processing capabilities. The new silicon from Apple Inc. is reportedly designed to power on-device AI across multiple product categories including MacBook Pro, iPad Pro, and Vision Pro devices.

AILegal

Authors File Class Action Against Salesforce Over AI Training Data

Salesforce faces a proposed class action lawsuit from authors claiming the company used pirated books to train its AI software. The case adds to mounting legal challenges against tech firms over AI training practices.

Legal Challenge Over AI Training Materials

Cloud computing giant Salesforce is facing a proposed class action lawsuit from two authors who allege the company used thousands of copyrighted books without permission to train its artificial intelligence systems, according to reports filed this week.

AIEthics

Study Reveals Widespread Inability to Detect Racial Bias in AI Training Data

Researchers found that artificial intelligence systems can develop racial bias when trained on unrepresentative data, but most users fail to recognize these imbalances. The study reveals that people typically only notice bias when AI systems demonstrate skewed performance in classifying emotions across different racial groups.

AI Systems Learn Racial Bias Through Training Data

According to a recent study published in Media Psychology, most users cannot identify racial bias in artificial intelligence training data, even when it’s clearly presented to them. The research indicates that AI systems can develop skewed perceptions, such as classifying white people as happier than individuals from other racial backgrounds, due to imbalanced training datasets.