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Artificial intelligence (AI) has transformed how we interact with technology. From voice assistants to smart recommendation systems, AI-powered applications are now part of our daily routines. Businesses and individuals alike seek ways to integrate AI into everyday applications to improve efficiency,
How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game? Read on to find out.
It will be essential for us as a species to maintain superiority, but [...] we are not the pinnacle of creation," he says.
The vastness and distributed nature of modern data in enterprises have given a sharp rise to the development of sophisticated business intelligence (BI) tools such as PowerBI, Tableau, Sisense and more. These tools allow the gathering of data from diverse sources such as databases, file systems and application programming interfaces (API).
A hot trend is to train generative AI and LLMs by using logical reasoning exhibited by other AI. This is clever and a nifty AI hack. Here's the insider scoop.
The pair tested their approach on the Abstraction and Reasoning Corpus (ARC-AGI), an unbeaten visual benchmark created in 2019 by machine learning researcher François Chollet to test AI systems' abstract reasoning skills.
Artificial intelligence (AI)-based models have proved to be promising tools for predicting some data trends and future outcomes with good accuracy. These models' ability to make predictions by analyzing data can be particularly valuable for research,