Predictive analytics using IoT sensors and data analytics to monitor equipment condition in real time and predict potential failures before they occur is a popular industrial AI application. Another emerging example is leveraging AI in computer vision for employee safety.

South Korea plans to invest 22.5 billion won (US$14.7 million) until 2029 to develop artificial intelligence (AI) models tailored for research and development (R&D), the science ministry said Thursday.

President Trump signs a new executive order to review advanced AI models, introducing frontier model assessments, cybersecurity safeguards and voluntary government-industry collaboration.

A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision Encoder, be transformed into a language the Language Model understands and passed on.

Google has unveiled Omni Flash, a new AI model that could change the way videos are edited. From simplifying complex edits to generating creative content faster, Omni Flash aims to make professional-grade video production more accessible.

A researcher analyzing reams of data. A traveler translating a foreign language. A student writing an essay. There are many ways that artificial intelligence has been proven to help an individual in a challenging situation.

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one method that ...

Robotic Process Automation uses bots to automate repetitive tasks. AI based on Large Language Models is beginning to replace RPA. One firm switched to AI when RPA failed.

Microsoft’s new Surface RTX Spark Dev Box packs Nvidia Blackwell AI power and 128GB of unified memory to run large AI models locally, helping developers cut cloud costs and rethink enterprise AI infrastructure.

Microsoft's AI chief, Mustafa Suleyman, revealed a strategic shift, prioritizing competition with Anthropic over rivals like Google and Meta. This focus stems from Anthropic's aggressive entry into enterprise software and coding tools,