The R&D programs involve Artificial Intelligence (AI), Quantum Computing Technology, Geospatial Analytics Solution, Industry 4.0, Circular Economy, Smart Agriculture, Biologics in Pharmaceuticals ...

Agentic AI will only be a stepping stone, though. The next big thing in AI just might be smart glasses. Zuckerberg views glasses as "the ideal form factor for an AI device." He expects AI ...

AI is learning to see the world like we do. It’s spotting diseases in X-rays, making airports safer, and helping self-driving cars navigate the roads. Next up? Well, probably smart shopping ...

Chinese electric vehicle (EV) makers are scrambling to install artificial intelligence (AI) developed by DeepSeek to add to their cars’ digital bells and whistles in a highly competitive market.

These are very smart contracts that can be very scalable wit its computational power. The Internet Computer's blockchain technology is designed to reduce reliance on centralized cloud solution. Render ...

Customer Experiences In SaaS: AI and smart data help businesses not only improve their service but also build good and meaningful relationships with customers. Trending Photos Customer Experiences In ...

Its A18 chip makes it the most affordable way to use Apple's generative AI tools. Chrome and Google app users on iPhone can now draw, highlight or tap on text and images to carry out a visual ...

Chinese search engine giant Baidu said on Friday it would make its next-generation artificial intelligence model Ernie open-source from June 30, a major shift in strategy as competition heats up.

Here we have listed the best smartphones that let you experience AI capabilities to the fullest. Without any delays, here are the best AI-Powered mobiles (February 2025) that make the cut: Read More ...

Chinese electric vehicle (EV) makers are scrambling to install artificial intelligence (AI) developed by DeepSeek ... Chinese motorists' increasing desire for smart vehicles has prompted major ...

The collaboration aims to help companies better use their data, which is often scattered and unstructured, making AI adoption challenging.