One important nuance is how ‘AI’ is defined: In many cases, what is currently called AI is more automation or rules-based processes rather than true machine learning,” she said.

By integrating machine vision, spectral analysis, sensor data, and blockchain, AI is enabling smarter detection, secure traceability, and more tailored nutrition strategies.

AI Lab helps our large fast-growing community of developers get started on AI. ML Course Notes: A place to collaborate and share lecture notes on all topics related to machine learning, NLP, and AI.

Interact Analysis expects AI software to grow at a much faster pace than that of traditional software libraries, promoting ...

The output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications ...

Eager to gain a competitive edge, many organizations rushed to implement artificial intelligence (AI) in recent years. For ...

LONDON, June 10, 2025 /PRNewswire/ -- Trigo Vision Ltd., a leading provider of computer vision AI technology, today announces the launch of its AI-driven loss prevention solution. The solution ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

Artificial intelligence has transformed how we work, communicate, and solve problems. From language models that write essays ...

This integration tax is not unique: It’s the hidden cost of today’s fragmented AI landscape. Anthropic’s Model Context Protocol (MCP) is one of the first attempts to fill this gap.